Suspicious Financial Transaction Detection Based on Empirical Mode Decomposition Method. - Tianqing Zhu (APSCC, 2006)

An Outlier Detection Model Based on Cross Datasets Comparison for Financial Surveillance. - Tianqing Zhu (APSCC, 2006)

AMDD: Exploring Entropy Based Anonymous Multi-dimensional Data Detection for Network Optimization in Human Associated DTNs. - Longxiang Gao; Ming Li 010; Tianqing Zhu; Alessio Bonti; Wanlei Zhou 001; Shui Yu 001 (TrustCom, 2012)

Differential privacy for neighborhood-based collaborative filtering. - Tianqing Zhu; Gang Li 009; Yongli Ren; Wanlei Zhou 001; Ping Xiong 001 (ASONAM, 2013)

Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks. - Benke Qu; Wenjia Niu; Tianqing Zhu; Lei Wu 002; Shijun Liu; Na Wang (BSI@PAKDD/BSIC@IJCAI, 2013)

Top-N Recommendations by Learning User Preference Dynamics. - Yongli Ren; Tianqing Zhu; Gang Li 009; Wanlei Zhou 001 (PAKDD (2), 2013)

An Effective Deferentially Private Data Releasing Algorithm for Decision Tree. - Tianqing Zhu; Ping Xiong 001; Yang Xiang 001; Wanlei Zhou 001 (TrustCom/ISPA/IUCC, 2013)

Privacy Preserving for Tagging Recommender Systems. - Tianqing Zhu; Gang Li 009; Yongli Ren; Wanlei Zhou 001; Ping Xiong 001 (Web Intelligence, 2013)

Deferentially Private Tagging Recommendation Based on Topic Model. - Tianqing Zhu; Gang Li 009; Wanlei Zhou 001; Ping Xiong 001; Cao Yuan (PAKDD (1), 2014)

Privacy Preserving in Location Data Release: A Differential Privacy Approach. - Ping Xiong 001; Tianqing Zhu; Lei Pan 002; Wenjia Niu; Gang Li 009 (PRICAI, 2014)

An effective privacy preserving algorithm for neighborhood-based collaborative filtering. - Tianqing Zhu; Yongli Ren; Wanlei Zhou 001; Jia Rong; Ping Xiong 001 (Future Gener. Comput. Syst., 2014)

Privacy preserving collaborative filtering for KNN attack resisting. - Tianqing Zhu; Gang Li 009; Lei Pan 002; Yongli Ren; Wanlei Zhou 001 (Soc. Netw. Anal. Min., 2014)

Correlated Differential Privacy: Hiding Information in Non-IID Data Set. - Tianqing Zhu; Ping Xiong 001; Gang Li 009; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2015)

Privacy preserving data release for tagging recommender systems. - Tianqing Zhu; Gang Li 009; Yongli Ren; Wanlei Zhou 001; Ping Xiong 001 (Web Intell., 2015)

Discovering Learning Patterns of Male and Female Students by Contrast Targeted Rule Mining. - Xianghong Tian; Jie Kong; Tianqing Zhu; Haiyang Xia (ES, 2016)

Semantic analysis in location privacy preserving. - Ping Xiong 001; Lefeng Zhang; Tianqing Zhu (Concurr. Comput. Pract. Exp., 2016)

A differentially private algorithm for location data release. - Ping Xiong 001; Tianqing Zhu; Wenjia Niu; Gang Li 009 (Knowl. Inf. Syst., 2016)

Privacy-preserving topic model for tagging recommender systems. - Tianqing Zhu; Gang Li 009; Wanlei Zhou 001; Ping Xiong 001; Cao Yuan (Knowl. Inf. Syst., 2016)

Taming transitive permission attack via bytecode rewriting on Android application. - Daibin Wang; Hai Jin 001; Deqing Zou; Peng Xu 003; Tianqing Zhu; Gang Chen (Secur. Commun. Networks, 2016)

Silence is Golden: Enhancing Privacy of Location-Based Services by Content Broadcasting and Active Caching in Wireless Vehicular Networks. - Bo Liu 001; Wanlei Zhou 001; Tianqing Zhu; Longxiang Gao; Tom H. Luan; Haibo Zhou (IEEE Trans. Veh. Technol., 2016)

Differentially private query learning: From data publishing to model publishing. - Tianqing Zhu; Ping Xiong 001; Gang Li 009; Wanlei Zhou 001; Philip S. Yu (IEEE BigData, 2017)

Personalized Privacy Preserving Collaborative Filtering. - Mengmeng Yang 002; Tianqing Zhu; Yang Xiang 001; Wanlei Zhou 001 (GPC, 2017)

CloudController: A Writable and Heterogeneous-Adaptive Virtual Machine Introspection for Cloud Management. - Weizhong Qiang; Gongping Xu; Guozhong Sun; Tianqing Zhu; Hai Jin 001 (TrustCom/BigDataSE/ICESS, 2017)

Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform. - Mengmeng Yang 002; Tianqing Zhu; Lichuan Ma; Yang Xiang 001; Wanlei Zhou 001 (TrustCom/BigDataSE/ICESS, 2017)

Reward-based spatial crowdsourcing with differential privacy preservation. - Ping Xiong 001; Lefeng Zhang; Tianqing Zhu (Enterp. Inf. Syst., 2017)

Evolutionary virus immune strategy for temporal networks based on community vitality. - Min Li; Cai Fu; Xiao-Yang Liu; Jia Yang; Tianqing Zhu; Lansheng Han (Future Gener. Comput. Syst., 2017)

A cyber-threat analytic model for autonomous detection of virtual property theft. - Nicholas Charles Patterson; Michael Hobbs; Tianqing Zhu (Inf. Comput. Secur., 2017)

Differentially Private Data Publishing and Analysis: A Survey. - Tianqing Zhu; Gang Li 009; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2017)

Invisible Hand: A Privacy Preserving Mobile Crowd Sensing Framework Based on Economic Models. - Bo Liu 001; Wanlei Zhou 001; Tianqing Zhu; Haibo Zhou; Xiaodong Lin 001 (IEEE Trans. Veh. Technol., 2017)

Differential Privacy and Applications - Tianqing Zhu; Gang Li 009; Wanlei Zhou 001; Philip S. Yu (Springer, 2017)

Location Privacy in Mobile Applications - Bo Liu 001; Wanlei Zhou 001; Tianqing Zhu; Yong Xiang 001; Kun Wang 005 (Springer, 2018)

Using Adversarial Noises to Protect Privacy in Deep Learning Era. - Bo Liu 001; Ming Ding 001; Tianqing Zhu; Yong Xiang 001; Wanlei Zhou 001 (GLOBECOM, 2018)

MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data. - Yaocheng Zhang; Wei Ren 002; Tianqing Zhu; Wei Bi (ICA3PP (2), 2018)

A Differentially Private Method for Crowdsourcing Data Submission. - Lefeng Zhang; Ping Xiong 001; Tianqing Zhu (PAKDD (Workshops), 2018)

Lico: A Lightweight Access Control Model for Inter-Networking Linkages. - Simin Li; Wei Ren 002; Tianqing Zhu; Kim-Kwang Raymond Choo (IEEE Access, 2018)

Location Privacy and Its Applications: A Systematic Study. - Bo Liu 001; Wanlei Zhou 001; Tianqing Zhu; Longxiang Gao; Yong Xiang 001 (IEEE Access, 2018)

Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. - Mengmeng Yang 002; Tianqing Zhu; Bo Liu 001; Yang Xiang 001; Wanlei Zhou 001 (IEEE Access, 2018)

Differential Private POI Queries via Johnson-Lindenstrauss Transform. - Mengmeng Yang 002; Tianqing Zhu; Bo Liu 001; Yang Xiang 001; Wanlei Zhou 001 (IEEE Access, 2018)

Density-Based Location Preservation for Mobile Crowdsensing With Differential Privacy. - Mengmeng Yang 002; Tianqing Zhu; Yang Xiang 001; Wanlei Zhou 001 (IEEE Access, 2018)

Cryptanalysis of a Lightweight Certificateless Signature Scheme for IIOT Environments. - Bo Zhang 020; Tianqing Zhu; Chengyu Hu; Chuan Zhao (IEEE Access, 2018)

Performance and Security Evaluations of Identity- and Pairing-Based Digital Signature Algorithms on Windows, Android, and Linux Platforms: Revisiting the Algorithms of Cha and Cheon, Hess, Barreto, Libert, Mccullagh and Quisquater, and Paterson and Schuldt. - Sheng Zhong; Wei Ren 002; Tianqing Zhu; Yi Ren 001; Kim-Kwang Raymond Choo (IEEE Access, 2018)

An iteration-based differentially private social network data release. - Tianqing Zhu; Mengmeng Yang 002; Ping Xiong 001; Yang Xiang 001; Wanlei Zhou 001 (Comput. Syst. Sci. Eng., 2018)

RIMS: A Real-time and Intelligent Monitoring System for live-broadcasting platforms. - Yangfan Li; Wei Ren 002; Tianqing Zhu; Yi Ren 001; Yue Qin; Wei Jie (Future Gener. Comput. Syst., 2018)

Answering differentially private queries for continual datasets release. - Tianqing Zhu; Gang Li 009; Ping Xiong 001; Wanlei Zhou 001 (Future Gener. Comput. Syst., 2018)

A Watermark-Based In-Situ Access Control Model for Image Big Data. - Jinyi Guo; Wei Ren 002; Yi Ren 001; Tianqing Zhu (Future Internet, 2018)

Privacy preserving in big data. - Mengmeng Yang 002; Tianqing Zhu (Security and Privacy for Big Data, Cloud Computing and Applications, 2019)

Detecting Suicidal Ideation with Data Protection in Online Communities. - Shaoxiong Ji; Guodong Long; Shirui Pan; Tianqing Zhu; Jing Jiang 002; Sen Wang 001 (DASFAA (3), 2019)

Protecting Privacy-Sensitive Locations in Trajectories with Correlated Positions. - Bo Liu 001; Tianqing Zhu; Wanlei Zhou 001; Kun Wang 005; Haibo Zhou; Ming Ding 001 (GLOBECOM, 2019)

Simultaneously Advising via Differential Privacy in Cloud Servers Environment. - Sheng Shen 005; Tianqing Zhu; Dayong Ye; Mengmeng Yang 002; Tingting Liao; Wanlei Zhou 001 (ICA3PP (1), 2019)

Differential Privacy Preservation for Smart Meter Systems. - Junfang Wu; Weizhong Qiang; Tianqing Zhu; Hai Jin 001; Peng Xu 003; Sheng Shen 005 (ICA3PP (1), 2019)

Applying Differential Privacy Mechanism in Artificial Intelligence. - Tianqing Zhu; Philip S. Yu (ICDCS, 2019)

PBCert: Privacy-Preserving Blockchain-Based Certificate Status Validation Toward Mass Storage Management. - Shixiong Yao; Jing Chen 003; Kun He 008; Ruiying Du; Tianqing Zhu; Xin Chen (IEEE Access, 2019)

PICEAdatabase: a web database for Picea omics and phenotypic information. - Nan Lu; Tianqing Zhu; Fangqun Ouyang; Yan Xia; Qingfen Li; Zirui Jia; Jiwen Hu; Juanjuan Ling; Wenjun Ma; Guijuan Yang; Hanguo Zhang; Lisheng Kong; et al. (Database J. Biol. Databases Curation, 2019)

Optimizing rewards allocation for privacy-preserving spatial crowdsourcing. - Ping Xiong 001; Danyang Zhu; Lefeng Zhang; Wei Ren 002; Tianqing Zhu (Comput. Commun., 2019)

Adversaries or allies? Privacy and deep learning in big data era. - Bo Liu 001; Ming Ding 001; Tianqing Zhu; Yong Xiang 001; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2019)

A differentially private method for crowdsourcing data submission. - Lefeng Zhang; Ping Xiong 001; Wei Ren 002; Tianqing Zhu (Concurr. Comput. Pract. Exp., 2019)

Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care. - Shaoxiong Ji; Guodong Long; Shirui Pan; Tianqing Zhu; Jing Jiang 002; Sen Wang 001; Xue Li 001 (CoRR, 2019)

A blockchain-based location privacy-preserving crowdsensing system. - Mengmeng Yang 002; Tianqing Zhu; Kaitai Liang; Wanlei Zhou 001; Robert H. Deng (Future Gener. Comput. Syst., 2019)

SaaS: A situational awareness and analysis system for massive android malware detection. - Yaocheng Zhang; Wei Ren 002; Tianqing Zhu; Yi Ren 001 (Future Gener. Comput. Syst., 2019)

CaACBIM: A Context-aware Access Control Model for BIM. - Rongyue Zheng; Jianlin Jiang; Xiaohan Hao; Wei Ren 002; Feng Xiong; Tianqing Zhu (Inf., 2019)

MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data. - Yaocheng Zhang; Wei Ren 002; Tianqing Zhu; Ehoche Faith (Symmetry, 2019)

Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks. - Cai Fu; Xiao-Yang Liu; Jia Yang; Laurence T. Yang; Shui Yu 001; Tianqing Zhu (IEEE Trans. Dependable Secur. Comput., 2019)

Blockchain in 5G and 6G networks. - Minghao Wang; Xuhan Zuo; Tianqing Zhu (Blockchains for Network Security, 2020)

An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. - Yanxin Zhang; Guanping Xiao; Zheng Zheng 001; Tianqing Zhu; Ivor W. Tsang; Yulei Sui (APSEC, 2020)

Hiding Private Information in Images From AI. - Hanyu Xue; Bo Liu 001; Ming Ding 001; Li Song 001; Tianqing Zhu (ICC, 2020)

A Fast Robustness Quantification Method for Evaluating Typical Deep Learning Models by Generally Image Processing. - Haocong Li; Yunjia Cheng; Wei Ren 002; Tianqing Zhu (ISPA/BDCloud/SocialCom/SustainCom, 2020)

GAN-Based Image Privacy Preservation: Balancing Privacy and Utility. - Zhenfei Chen; Tianqing Zhu; Chenguang Wang 008; Wei Ren 002; Ping Xiong 001 (ML4CS (1), 2020)

The Impact of Differential Privacy on Model Fairness in Federated Learning. - Xiuting Gu; Tianqing Zhu; Jie Li 002; Tao Zhang 055; Wei Ren 002 (NSS, 2020)

Privacy and Utility Trade-Off for Textual Analysis via Calibrated Multivariate Perturbations. - Jingye Tang; Tianqing Zhu; Ping Xiong 001; Yu Wang; Wei Ren 002 (NSS, 2020)

Model Poisoning Defense on Federated Learning: A Validation Based Approach. - Yuao Wang; Tianqing Zhu; Wenhan Chang; Sheng Shen 005; Wei Ren 002 (NSS, 2020)

SCScan: A SVM-based Scanning System for Vulnerabilities in Blockchain Smart Contracts. - Xiaohan Hao; Wei Ren 002; Wenwen Zheng; Tianqing Zhu (TrustCom, 2020)

Improving Laplace Mechanism of Differential Privacy by Personalized Sampling. - Wen Huang 002; Shijie Zhou 002; Tianqing Zhu; Yongjian Liao; Chunjiang Wu; Shilin Qiu (TrustCom, 2020)

Secure and efficient sharing of authenticated energy usage data with privacy preservation. - Jianghua Liu; Jingyu Hou 001; Xinyi Huang 001; Yang Xiang 001; Tianqing Zhu (Comput. Secur., 2020)

Local Differential Privacy and Its Applications: A Comprehensive Survey. - Mengmeng Yang 002; Lingjuan Lyu; Jun Zhao 007; Tianqing Zhu; Kwok-Yan Lam (CoRR, 2020)

Privacy Intelligence: A Survey on Image Sharing on Online Social Networks. - Chi Liu 002; Tianqing Zhu; Jun Zhang 010; Wanlei Zhou 001 (CoRR, 2020)

Efficiently Constructing Adversarial Examples by Feature Watermarking. - Yuexin Xiang; Wei Ren 002; Tiantian Li; Xianghan Zheng; Tianqing Zhu; Kim-Kwang Raymond Choo (CoRR, 2020)

Fairness Constraints in Semi-supervised Learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (CoRR, 2020)

the Connection between Cryptography and Differential Privacy: a Survey. - Wen Huang 002; Shijie Zhou 002; Tianqing Zhu; Yongjian Liao (CoRR, 2020)

Differential Advising in Multi-Agent Reinforcement Learning. - Dayong Ye; Tianqing Zhu; Zishuo Cheng; Wanlei Zhou 001; Philip S. Yu (CoRR, 2020)

Security and privacy in 6G networks: New areas and new challenges. - Minghao Wang; Tianqing Zhu; Tao Zhang 055; Jun Zhang 010; Shui Yu 001; Wanlei Zhou 001 (Digit. Commun. Networks, 2020)

Private collaborative filtering under untrusted recommender server. - Ping Xiong 001; Lefeng Zhang; Tianqing Zhu; Gang Li 009; Wanlei Zhou 001 (Future Gener. Comput. Syst., 2020)

Differentially private model publishing in cyber physical systems. - Tianqing Zhu; Ping Xiong 001; Gang Li 009; Wanlei Zhou 001; Philip S. Yu (Future Gener. Comput. Syst., 2020)

BoSMoS: A Blockchain-Based Status Monitoring System for Defending Against Unauthorized Software Updating in Industrial Internet of Things. - Sen He 003; Wei Ren 002; Tianqing Zhu; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2020)

A Hierarchical Encryption and Key Management Scheme for Layered Access Control on H.264/SVC Bitstream in the Internet of Things. - Cheng Xu; Wei Ren 002; Linchen Yu; Tianqing Zhu; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2020)

A flexible method to defend against computationally resourceful miners in blockchain proof of work. - Wei Ren 002; Jingjing Hu; Tianqing Zhu; Yi Ren 001; Kim-Kwang Raymond Choo (Inf. Sci., 2020)

Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning. - Dayong Ye; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Cybern., 2020)

Correlated Differential Privacy: Feature Selection in Machine Learning. - Tao Zhang 055; Tianqing Zhu; Ping Xiong 001; Huan Huo; Zahir Tari; Wanlei Zhou 001 (IEEE Trans. Ind. Informatics, 2020)

A Semantic-based Replacement for Event Image Privacy. - Zhenfei Chen; Tianqing Zhu; Bing Tian; Yu Wang; Wei Ren 002 (CSE, 2021)

A Blockchain-based Fast Authentication and Collaborative Video Data Forwarding Scheme for Vehicular Networks. - Weihui Qiu; Xin Yang; Ming Wei; Wei Ren 002; Tianqing Zhu (EUC, 2021)

Privacy Risk Assessment for Text Data Based on Semantic Correlation Learning. - Ping Xiong 001; Lin Liang; Yunli Zhu; Tianqing Zhu (WASA (3), 2021)

CDVT: A Cluster-Based Distributed Video Transcoding Scheme for Mobile Stream Services. - Cheng Xu; Wei Ren 002; Daxi Tu; Linchen Yu; Tianqing Zhu; Yi Ren 001 (WASA (1), 2021)

An optimized differential privacy scheme with reinforcement learning in VANET. - Xin Chen; Tao Zhang 055; Sheng Shen 005; Tianqing Zhu; Ping Xiong 001 (Comput. Secur., 2021)

Heterogeneous differential privacy for vertically partitioned databases. - Yang Xia; Tianqing Zhu; Xiaofeng Ding 001; Hai Jin 001; Deqing Zou (Concurr. Comput. Pract. Exp., 2021)

DP-Image: Differential Privacy for Image Data in Feature Space. - Bo Liu 001; Ming Ding 001; Hanyu Xue; Tianqing Zhu; Dayong Ye; Li Song 001; Wanlei Zhou 001 (CoRR, 2021)

Fair and Differentially Private Distributed Frequency Estimation. - Mengmeng Yang 002; Ivan Tjuawinata; Kwok-Yan Lam; Tianqing Zhu; Jun Zhao 007 (CoRR, 2021)

A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning. - Yuexin Xiang; Tiantian Li; Wei Ren 002; Tianqing Zhu; Kim-Kwang Raymond Choo (CoRR, 2021)

Semantic-Preserving Adversarial Text Attacks. - Xinghao Yang; Weifeng Liu 001; James Bailey 001; Tianqing Zhu; Dacheng Tao; Wei Liu 007 (CoRR, 2021)

Asymmetric cryptographic functions based on generative adversarial neural networks for Internet of Things. - Xiaohan Hao; Wei Ren 002; Ruoting Xiong; Tianqing Zhu; Kim-Kwang Raymond Choo (Future Gener. Comput. Syst., 2021)

Privacy preservation for image data: A GAN-based method. - Zhenfei Chen; Tianqing Zhu; Ping Xiong 001; Chenguang Wang 008; Wei Ren 002 (Int. J. Intell. Syst., 2021)

FAPS: A fair, autonomous and privacy-preserving scheme for big data exchange based on oblivious transfer, Ether cheque and smart contracts. - Tiantian Li; Wei Ren 002; Yuexin Xiang; Xianghan Zheng; Tianqing Zhu; Kim-Kwang Raymond Choo; Gautam Srivastava 001 (Inf. Sci., 2021)

A multi-type and decentralized data transaction scheme based on smart contracts and digital watermarks. - Yuexin Xiang; Wei Ren 002; Tiantian Li; Xianghan Zheng; Tianqing Zhu; Kim-Kwang Raymond Choo (J. Netw. Comput. Appl., 2021)

A Mixing Scheme Using a Decentralized Signature Protocol for Privacy Protection in Bitcoin Blockchain. - Ruiyang Xiao; Wei Ren 002; Tianqing Zhu; Kim-Kwang Raymond Choo (IEEE Trans. Dependable Secur. Comput., 2021)

A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. - Dayong Ye; Tianqing Zhu; Sheng Shen 005; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2021)

Game Theoretical Adversarial Deep Learning With Variational Adversaries. - Aneesh Sreevallabh Chivukula; Xinghao Yang; Wei Liu 007; Tianqing Zhu; Wanlei Zhou 001 (IEEE Trans. Knowl. Data Eng., 2021)

Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing. - Zhibo Wang 001; Jing Zhao 011; Jiahui Hu; Tianqing Zhu; Qian Wang 002; Ju Ren 001; Chao Li 027 (IEEE Trans. Mob. Comput., 2021)

Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces. - Suleiman Abahussein; Zishuo Cheng; Tianqing Zhu; Dayong Ye; Wanlei Zhou 001 (AI, 2022)

Visual privacy attacks and defenses in deep learning: a survey. - Guangsheng Zhang 004; Bo Liu 001; Tianqing Zhu; Andi Zhou; Wanlei Zhou 001 (Artif. Intell. Rev., 2022)

Privacy, accuracy, and model fairness trade-offs in federated learning. - Xiuting Gu; Tianqing Zhu; Jie Li 002; Tao Zhang 055; Wei Ren 002; Kim-Kwang Raymond Choo (Comput. Secur., 2022)

Fairness and privacy preservation for facial images: GAN-based methods. - Huan Tian; Tianqing Zhu; Wanlei Zhou 001 (Comput. Secur., 2022)

A privacy preservation method for multiple-source unstructured data in online social networks. - Chenguang Wang 008; Tianqing Zhu; Ping Xiong 001; Wei Ren 002; Kim-Kwang Raymond Choo (Comput. Secur., 2022)

Correlated data in differential privacy: Definition and analysis. - Tao Zhang 055; Tianqing Zhu; Renping Liu; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2022)

From distributed machine learning to federated learning: In the view of data privacy and security. - Sheng Shen 005; Tianqing Zhu; Di Wu 050; Wei Wang; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2022)

A novel differentially private advising framework in cloud server environment. - Sheng Shen 005; Tianqing Zhu; Dayong Ye; Minghao Wang; Xuhan Zuo; Andi Zhou (Concurr. Comput. Pract. Exp., 2022)

PriTxt: A privacy risk assessment method for text data based on semantic correlation learning. - Ping Xiong 001; Lin Liang; Yunli Zhu; Tianqing Zhu (Concurr. Comput. Pract. Exp., 2022)

Private-encoder: Enforcing privacy in latent space for human face images. - Yuan Zhao; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2022)

Label-only Model Inversion Attack: The Attack that Requires the Least Information. - Dayong Ye; Tianqing Zhu; Shuai Zhou 001; Bo Liu 001; Wanlei Zhou 001 (CoRR, 2022)

Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. - Dayong Ye; Huiqiang Chen; Shuai Zhou 001; Tianqing Zhu; Wanlei Zhou 001; Shouling Ji (CoRR, 2022)

BABD: A Bitcoin Address Behavior Dataset for Address Behavior Pattern Analysis. - Yuexin Xiang; Yuchen Lei; Ding Bao; Wei Ren 002; Tiantian Li; Qingqing Yang; Wenmao Liu; Tianqing Zhu; Kim-Kwang Raymond Choo (CoRR, 2022)

How Does a Deep Learning Model Architecture Impact Its Privacy? - Guangsheng Zhang 004; Bo Liu 001; Huan Tian; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (CoRR, 2022)

More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2022)

Prioritized Experience Replay based on Multi-armed Bandit. - Ximing Liu; Tianqing Zhu; Cuiqing Jiang; Dayong Ye; Fuqing Zhao (Expert Syst. Appl., 2022)

Multi-agent reinforcement learning via knowledge transfer with differentially private noise. - Zishuo Cheng; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu; Congcong Zhu (Int. J. Intell. Syst., 2022)

Privately Publishing Internet of Things Data: Bring Personalized Sampling Into Differentially Private Mechanisms. - Wen Huang 002; Shijie Zhou 002; Tianqing Zhu; Yongjian Liao (IEEE Internet Things J., 2022)

Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning. - Tianqing Zhu; Wei Zhou; Dayong Ye; Zishuo Cheng; Jin Li 002 (IEEE Internet Things J., 2022)

Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction. - Xiang Yu; Dongmei Zhang 006; Tianqing Zhu; Xinwei Jiang (Inf. Sci., 2022)

LOPO: a location privacy preserving path optimization scheme for spatial crowdsourcing. - Ping Xiong 001; Guirong Li; Wei Ren 002; Tianqing Zhu (J. Ambient Intell. Humaniz. Comput., 2022)

Attacking neural machine translations via hybrid attention learning. - Mingze Ni; Ce Wang; Tianqing Zhu; Shui Yu 001; Wei Liu 007 (Mach. Learn., 2022)

Image fairness in deep learning: problems, models, and challenges. - Huan Tian; Tianqing Zhu; Wei Liu 007; Wanlei Zhou 001 (Neural Comput. Appl., 2022)

A Decentralized Electronic Reporting Scheme with Privacy Protection Based on Proxy Signature and Blockchain. - Huiying Zou; Xiaofan Liu; Wei Ren 002; Tianqing Zhu (Secur. Commun. Networks, 2022)

Differential Advising in Multiagent Reinforcement Learning. - Dayong Ye; Tianqing Zhu; Zishuo Cheng; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Cybern., 2022)

Differentially Private Multi-Agent Planning for Logistic-Like Problems. - Dayong Ye; Tianqing Zhu; Sheng Shen 005; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Dependable Secur. Comput., 2022)

One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. - Dayong Ye; Sheng Shen 005; Tianqing Zhu; Bo Liu 001; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. - Tao Zhang 055; Tianqing Zhu; Jing Li 009; Mengde Han; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks. - Tianqing Zhu; Jin Li 002; Xiangyu Hu 006; Ping Xiong 001; Wanlei Zhou 001 (IEEE Trans. Knowl. Data Eng., 2022)

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. - Tianqing Zhu; Dayong Ye; Wei Wang; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

Time-optimal and privacy preserving route planning for carpool policy. - Congcong Zhu; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (World Wide Web, 2022)

Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning. - Suleiman Abahussein; Tianqing Zhu; Dayong Ye; Zishuo Cheng; Wanlei Zhou 001 (AINA (3), 2023)

Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. - Chi Liu 002; Tianqing Zhu; Sheng Shen 005; Wanlei Zhou 001 (IJCAI, 2023)

TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection. - Baoping Liu; Bo Liu 001; Ming Ding 001; Tianqing Zhu; Xin Yu 002 (WACV, 2023)

Proactive Deepfake Defence via Identity Watermarking. - Yuan Zhao; Bo Liu 001; Ming Ding 001; Baoping Liu; Tianqing Zhu; Xin Yu 002 (WACV, 2023)

New challenges in reinforcement learning: a survey of security and privacy. - Yunjiao Lei; Dayong Ye; Sheng Shen 005; Yulei Sui; Tianqing Zhu; Wanlei Zhou 001 (Artif. Intell. Rev., 2023)

Preserving data privacy in federated learning through large gradient pruning. - Zhiqiu Zhang; Tianqing Zhu; Wei Ren 002; Ping Xiong 001; Kim-Kwang Raymond Choo (Comput. Secur., 2023)

High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking. - Huajie Chen; Tianqing Zhu; Chi Liu 002; Shui Yu 001; Wanlei Zhou 001 (CoRR, 2023)

Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness. - Huajie Chen; Tianqing Zhu; Yuan Zhao; Bo Liu 001; Xin Yu 002; Wanlei Zhou 001 (CoRR, 2023)

Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. - Huiqiang Chen; Tianqing Zhu; Tao Zhang 055; Wanlei Zhou 001; Philip S. Yu (CoRR, 2023)

Divide and Ensemble: Progressively Learning for the Unknown. - Hu Zhang 005; Xin Shen; Heming Du; Huiqiang Chen; Chen Liu 028; Hongwei Sheng; Qingzheng Xu; Wahiduzzaman Khan; Qingtao Yu; Tianqing Zhu; Scott Chapman; Zi Huang; et al. (CoRR, 2023)

FD-MIA: Efficient Attacks on Fairness-enhanced Models. - Huan Tian; Guangsheng Zhang 004; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (CoRR, 2023)

Reinforcement Unlearning. - Dayong Ye; Tianqing Zhu; Congcong Zhu; Derui Wang; Jason Xue 002; Sheng Shen 005; Wanlei Zhou 001 (CoRR, 2023)

Privacy Intelligence: A Survey on Image Privacy in Online Social Networks. - Chi Liu 002; Tianqing Zhu; Jun Zhang 010; Wanlei Zhou 001 (ACM Comput. Surv., 2023)

Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. - Shuai Zhou 001; Chi Liu 002; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2023)

CIFair: Constructing continuous domains of invariant features for image fair classifications. - Huan Tian; Bo Liu 001; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (Knowl. Based Syst., 2023)

Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack. - Chi Liu 002; Huajie Chen; Tianqing Zhu; Jun Zhang 010; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Differentially Private Distributed Frequency Estimation. - Mengmeng Yang 002; Ivan Tjuawinata; Kwok-Yan Lam; Tianqing Zhu; Jun Zhao 007 (IEEE Trans. Dependable Secur. Comput., 2023)

Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models. - Guangsheng Zhang 004; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2023)

A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems. - Lefeng Zhang; Tianqing Zhu; Farookh Khadeer Hussain; Dayong Ye; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2023)

FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks. - Lefeng Zhang; Tianqing Zhu; Haibin Zhang; Ping Xiong 001; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Label-Only Model Inversion Attacks: Attack With the Least Information. - Tianqing Zhu; Dayong Ye; Shuai Zhou 001; Bo Liu 001; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Deep Metric Learning for K Nearest Neighbor Classification. - Tingting Liao; Zhen Lei 001; Tianqing Zhu; Shan Zeng; Yaqin Li; Cao Yuan (IEEE Trans. Knowl. Data Eng., 2023)

A Blockchain-Based Cross-Domain and Autonomous Access Control Scheme for Internet of Things. - Xiaohan Hao; Wei Ren 002; Yangyang Fei; Tianqing Zhu; Kim-Kwang Raymond Choo (IEEE Trans. Serv. Comput., 2023)

Differential privacy: Review of improving utility through cryptography-based technologies. - Wen Huang 002; Ming Zhuo; Tianqing Zhu; Shijie Zhou 002; Yongjian Liao (Concurr. Comput. Pract. Exp., 2023)

Face image de-identification by feature space adversarial perturbation. - Hanyu Xue; Bo Liu 001; Xin Yuan 004; Ming Ding 001; Tianqing Zhu (Concurr. Comput. Pract. Exp., 2023)

SPoFC: A framework for stream data aggregation with local differential privacy. - Mengmeng Yang 002; Kwok-Yan Lam; Tianqing Zhu; Chenghua Tang (Concurr. Comput. Pract. Exp., 2023)

Fairness in graph-based semi-supervised learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Fengwen Chen; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things. - Yizhi Liu; Xiaohan Hao; Wei Ren 002; Ruoting Xiong; Tianqing Zhu; Kim-Kwang Raymond Choo; Geyong Min (IEEE Trans. Computers, 2023)

Defense against membership inference attack in graph neural networks through graph perturbation. - Kai Wang; Jinxia Wu; Tianqing Zhu; Wei Ren 002; Ying Hong (Int. J. Inf. Sec., 2023)

Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study. - Xiangyu Hu 006; Tianqing Zhu; Xuemeng Zhai; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adversarial Attacks Against Deep Generative Models on Data: A Survey. - Hui Sun; Tianqing Zhu; Zhiqiu Zhang; Dawei Jin; Ping Xiong 001; Wanlei Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Learning Games for Defending Advanced Persistent Threats in Cyber Systems. - Tianqing Zhu; Dayong Ye; Zishuo Cheng; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Differentially Private Crowdsourcing With the Public and Private Blockchain. - Minghao Wang; Tianqing Zhu; Xuhan Zuo; Mengmeng Yang 002; Shui Yu 001; Wanlei Zhou 001 (IEEE Internet Things J., 2023)

Evolution of cooperation in malicious social networks with differential privacy mechanisms. - Tao Zhang 055; Dayong Ye; Tianqing Zhu; Tingting Liao; Wanlei Zhou 001 (Neural Comput. Appl., 2023)

Privacy Data Diffusion Modeling and Preserving in Online Social Network. - Xiangyu Hu 006; Tianqing Zhu; Xuemeng Zhai; Hengming Wang; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Knowl. Data Eng., 2023)

Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems. - Congcong Zhu; Zishuo Cheng; Dayong Ye; Farookh Khadeer Hussain; Tianqing Zhu; Wanlei Zhou 001 (IEEE Trans. Veh. Technol., 2023)

Improve individual fairness in federated learning via adversarial training. - Jie Li 002; Tianqing Zhu; Wei Ren 002; Kim-Kwang Raymond Choo (Comput. Secur., 2023)

Migrating federated learning to centralized learning with the leverage of unlabeled data. - Xiaoya Wang; Tianqing Zhu; Wei Ren 002; Dongmei Zhang 006; Ping Xiong 001 (Knowl. Inf. Syst., 2023)

Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. - Tao Zhang 055; Tianqing Zhu; Kun Gao 006; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Revisiting model fairness via adversarial examples. - Tao Zhang 055; Tianqing Zhu; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (Knowl. Based Syst., 2023)

Model-Based Self-Advising for Multi-Agent Learning. - Dayong Ye; Tianqing Zhu; Congcong Zhu; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

A lightweight privacy-preserving scheme using pixel block mixing for facial image classification in deep learning. - Yuexin Xiang; Tiantian Li; Wei Ren 002; Tianqing Zhu; Kim-Kwang Raymond Choo (Eng. Appl. Artif. Intell., 2023)

A Game-Theoretic Federated Learning Framework for Data Quality Improvement. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs. - Ding Bao; Wei Ren 002; Yuexin Xiang; Weimao Liu; Tianqing Zhu; Yi Ren 001; Kim-Kwang Raymond Choo (Frontiers Comput. Sci., 2023)

Privacy and evolutionary cooperation in neural-network-based game theory. - Zishuo Cheng; Tianqing Zhu; Congcong Zhu; Dayong Ye; Wanlei Zhou 001; Philip S. Yu (Knowl. Based Syst., 2023)

Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance. - Baoping Liu; Bo Liu 001; Ming Ding 001; Tianqing Zhu (BMSB, 2024)

Defense Against Graph Injection Attack in Graph Neural Networks. - Hanjin Tong; Tianqing Zhu; Faqian Guan; Wanlei Zhou 001 (DSC, 2024)

Machine Unlearning via Null Space Calibration. - Huiqiang Chen; Tianqing Zhu; Xin Yu 002; Wanlei Zhou 001 (IJCAI, 2024)

When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks. - Huan Tian; Guangsheng Zhang 004; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (IJCAI, 2024)

Enhancing Portability in Deep Learning-Based Side-Channel Attacks Against Kyber. - Peng Chen; Chi Cheng; Jinnuo Li; Tianqing Zhu (ISPEC, 2024)

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers. - Guangsheng Zhang 004; Bo Liu 001; Huan Tian; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (USENIX Security Symposium, 2024)

Gradient-based defense methods for data leakage in vertical federated learning. - Wenhan Chang; Tianqing Zhu (Comput. Secur., 2024)

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization. - Jiyao Li; Mingze Ni; Yifei Dong; Tianqing Zhu; Wei Liu 007 (CoRR, 2024)

The Frontier of Data Erasure: Machine Unlearning for Large Language Models. - Youyang Qu; Ming Ding 001; Nan Sun 002; Kanchana Thilakarathna; Tianqing Zhu; Dusit Niyato (CoRR, 2024)

Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning. - Wenhan Chang; Tianqing Zhu; Heng Xu; Wenjian Liu; Wanlei Zhou 001 (CoRR, 2024)

Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning. - Xuhan Zuo; Minghao Wang; Tianqing Zhu; Lefeng Zhang; Dayong Ye; Shui Yu 001; Wanlei Zhou 001 (CoRR, 2024)

3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views. - Xiaobiao Du; Haiyang Sun; Shuyun Wang; Zhuojie Wu; Hongwei Sheng; Jiaying Ying; Ming Lu; Tianqing Zhu; Kun Zhan; Xin Yu 002 (CoRR, 2024)

Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. - Shang Wang; Tianqing Zhu; Bo Liu 001; Ming Ding 001; Xu Guo 003; Dayong Ye; Wanlei Zhou 001; Philip S. Yu (CoRR, 2024)

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. - Laiqiao Qin; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (CoRR, 2024)

Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001 (CoRR, 2024)

Towards Efficient Target-Level Machine Unlearning Based on Essential Graph. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Wei Zhao 001 (CoRR, 2024)

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. - Feng He; Tianqing Zhu; Dayong Ye; Bo Liu 001; Wanlei Zhou 001; Philip S. Yu (CoRR, 2024)

Query-Efficient Video Adversarial Attack with Stylized Logo. - Duoxun Tang; Yuxin Cao; Xi Xiao; Derui Wang; Sheng Wen; Tianqing Zhu (CoRR, 2024)

SoK: Bitcoin Layer Two (L2). - Minfeng Qi; Qin Wang 008; Zhipeng Wang 009; Manvir Schneider; Tianqing Zhu; Shiping Chen 001; William Knottenbelt; Thomas Hardjono (CoRR, 2024)

Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications. - Heng Xu; Tianqing Zhu; Wanlei Zhou 001 (CoRR, 2024)

BRC20 Pinning Attack. - Minfeng Qi; Qin Wang 008; Zhipeng Wang 009; Lin Zhong; Tianqing Zhu; Shiping Chen 001; William Knottenbelt (CoRR, 2024)

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge? - Shang Wang; Tianqing Zhu; Dayong Ye; Wanlei Zhou 001 (CoRR, 2024)

Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation. - Wenhan Chang; Tianqing Zhu; Yufeng Wu; Wanlei Zhou 001 (CoRR, 2024)

Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage. - Hengzhu Liu; Tianqing Zhu; Lefeng Zhang; Ping Xiong 001 (CoRR, 2024)

New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook. - Mengmeng Yang 002; Tianqing Zhu; Chi Liu 002; Wanlei Zhou 001; Shui Yu 001; Philip S. Yu (CoRR, 2024)

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA. - Laiqiao Qin; Tianqing Zhu; Linlin Wang; Wanlei Zhou 001 (CoRR, 2024)

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks. - Faqian Guan; Tianqing Zhu; Wenhan Chang; Wei Ren 002; Wanlei Zhou 001 (CoRR, 2024)

Defending Against Neural Network Model Inversion Attacks via Data Poisoning. - Shuai Zhou 001; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (CoRR, 2024)

Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration. - Xuhan Zuo; Minghao Wang; Tianqing Zhu; Shui Yu 001; Wanlei Zhou 001 (CoRR, 2024)

When deep learning meets watermarking: A survey of application, attacks and defenses. - Huajie Chen; Chi Liu 002; Tianqing Zhu; Wanlei Zhou 001 (Comput. Stand. Interfaces, 2024)

Disentangling different levels of GAN fingerprints for task-specific forensics. - Chi Liu 002; Tianqing Zhu; Yuan Zhao; Jun Zhang 010; Wanlei Zhou 001 (Comput. Stand. Interfaces, 2024)

Local differential privacy and its applications: A comprehensive survey. - Mengmeng Yang 002; Taolin Guo; Tianqing Zhu; Ivan Tjuawinata; Jun Zhao 007; Kwok-Yan Lam (Comput. Stand. Interfaces, 2024)

M3A: A multimodal misinformation dataset for media authenticity analysis. - Qingzheng Xu; Huiqiang Chen; Heming Du; Hu Zhang 005; Szymon Lukasik; Tianqing Zhu; Xin Yu 002 (Comput. Vis. Image Underst., 2024)

Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data. - Liang Xue; Tianqing Zhu (Eng. Appl. Artif. Intell., 2024)

A GNN-based teacher-student framework with multi-advice. - Yunjiao Lei; Dayong Ye; Congcong Zhu; Sheng Shen 005; Wanlei Zhou 001; Tianqing Zhu (Expert Syst. Appl., 2024)

A Survey on MLLMs in Education: Application and Future Directions. - Weicheng Xing; Tianqing Zhu; Jenny Wang; Bo Liu 001 (Future Internet, 2024)

MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection. - Baoping Liu; Bo Liu 001; Ming Ding 001; Tianqing Zhu (Neurocomputing, 2024)

Proactive image manipulation detection via deep semi-fragile watermark. - Yuan Zhao; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Xin Yu 002; Wanlei Zhou 001 (Neurocomputing, 2024)

Supplement data in federated learning with a generator transparent to clients. - Xiaoya Wang; Tianqing Zhu; Wanlei Zhou 001 (Inf. Sci., 2024)

Defending against gradient inversion attacks in federated learning via statistical machine unlearning. - Kun Gao 006; Tianqing Zhu; Dayong Ye; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

A realistic model extraction attack against graph neural networks. - Faqian Guan; Tianqing Zhu; Hanjin Tong; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

Topology modification against membership inference attack in Graph Neural Networks. - Faqian Guan; Tianqing Zhu; Hanjin Tong; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

Fair Federated Learning with Opposite GAN. - Mengde Han; Tianqing Zhu; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

A federated advisory teacher-student framework with simultaneous learning agents. - Yunjiao Lei; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

Privacy preservation in deep reinforcement learning: A training perspective. - Sheng Shen 005; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

A location-based advising method in teacher-student frameworks. - Congcong Zhu; Dayong Ye; Huan Huo; Wanlei Zhou 001; Tianqing Zhu (Knowl. Based Syst., 2024)

Attribute-Based Membership Inference Attacks and Defenses on GANs. - Hui Sun; Tianqing Zhu; Jie Li 002; Shouling Ji; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Boosting Model Inversion Attacks With Adversarial Examples. - Shuai Zhou 001; Tianqing Zhu; Dayong Ye; Xin Yu 002; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Defending Against Label-Only Attacks via Meta-Reinforcement Learning. - Dayong Ye; Tianqing Zhu; Kun Gao 006; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting. - Shuai Zhou 001; Tianqing Zhu; Dayong Ye; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Inf. Forensics Secur., 2024)

High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking. - Huajie Chen; Tianqing Zhu; Chi Liu 002; Shui Yu 001; Wanlei Zhou 001 (IEEE Trans. Serv. Comput., 2024)

Machine Unlearning: A Survey. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2024)

Graph neural networks: a survey on the links between privacy and security. - Faqian Guan; Tianqing Zhu; Wanlei Zhou 001; Kim-Kwang Raymond Choo (Artif. Intell. Rev., 2024)

A two-stage model extraction attack on GANs with a small collected dataset. - Hui Sun; Tianqing Zhu; Wenhan Chang; Wanlei Zhou 001 (Comput. Secur., 2024)

Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. - Huiqiang Chen; Tianqing Zhu; Tao Zhang 055; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2024)

A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy. - Wei Zhou; Tianqing Zhu; Dayong Ye; Wei Ren 002; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2024)

AdvEWM: Generating image adversarial examples by embedding digital watermarks. - Yuexin Xiang; Tiantian Li; Wei Ren 002; Jie He; Tianqing Zhu; Kim-Kwang Raymond Choo (J. Inf. Secur. Appl., 2024)

Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency. - Minghao Wang; Tianqing Zhu; Xuhan Zuo; Dayong Ye; Shui Yu 001; Wanlei Zhou 001 (IEEE Internet Things J., 2024)

Location-Based Real-Time Updated Advising Method for Traffic Signal Control. - Congcong Zhu; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (IEEE Internet Things J., 2024)

Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning. - Minghao Wang; Tianqing Zhu; Xuhan Zuo; Dayong Ye; Shui Yu 001; Wanlei Zhou 001 (IEEE Internet Things J., 2024)

Public and Private Blockchain Infusion: A Novel Approach to Federated Learning. - Minghao Wang; Tianqing Zhu; Xuhan Zuo; Dayong Ye; Shui Yu 001; Wanlei Zhou 001 (IEEE Internet Things J., 2024)

PPFed: A Privacy-Preserving and Personalized Federated Learning Framework. - Guangsheng Zhang 004; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (IEEE Internet Things J., 2024)

RAGLeak: Membership Inference Attacks on RAG-Based Large Language Models. - Kaiyue Feng; Guangsheng Zhang 004; Huan Tian; Heng Xu; Yanjun Zhang; Tianqing Zhu; Ming Ding 001; Bo Liu 001 (ACISP (3), 2025)

Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight. - Yuanyuan Zhang; Yu Liu; Yahui Wang; Tianqing Zhu; Mingwu Zhang (ACISP (3), 2025)

Reinforcement Unlearning. - Dayong Ye; Tianqing Zhu; Congcong Zhu; Derui Wang; Kun Gao 006; Zewei Shi; Sheng Shen 005; Wanlei Zhou 001; Minhui Xue 001 (NDSS, 2025)

MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks. - Teng Fei; Xinjing Liu; Yanjun Zhang; Haizhuan Yuan; Tianqing Zhu; Leo Yu Zhang (PAKDD (4), 2025)

Causal Discovery with Inverted Self-attention for Multivariate Time Series. - Yusen Liu 001; Yong Wang; Yifan Yin; Tianqing Zhu; Xiufeng Liu; Huan Huo (PAKDD (4), 2025)

Codebreaker: Dynamic Extraction Attacks on Code Language Models. - Changzhou Han; Zehang Deng; Wanlun Ma; Xiaogang Zhu 001; Minhui Xue 001; Tianqing Zhu; Sheng Wen; Yang Xiang 001 (SP, 2025)

A Lightweight Transformation Method for Privacy Protection in Image Classification. - Jiahao Liu; Wei Ren 002; Yifei Cai; Wenmao Liu; Xianchao Zhang 002; Tianqing Zhu (WASA (3), 2025)

MDAM3: A Misinformation Detection and Analysis Framework for Multitype Multimodal Media. - Qingzheng Xu; Heming Du; Szymon Lukasik; Tianqing Zhu; Sen Wang 001; Xin Yu 002 (WWW, 2025)

A blockchain and signature based scheme for cross-domain authentication with decentralized identity. - Zinuo Zhang; Wei Ren 002; Xianchao Zhang 002; Yani Sun; Tianqing Zhu; Kim-Kwang Raymond Choo (Comput. Stand. Interfaces, 2025)

A Review of Deepfake and Its Detection: From Generative Adversarial Networks to Diffusion Models. - Baoping Liu; Bo Liu 001; Tianqing Zhu; Ming Ding 001 (Int. J. Intell. Syst., 2025)

A multi-view privacy-preserving knowledge distillation method with adversarial training and differential privacy. - Jiayun Wu; Wei Ren 002; Lianchong Zhang; Xianchao Zhang 002; Tianqing Zhu (Inf. Sci., 2025)

Federated Unlearning With Reinforcement Learning: Adaptive Privacy Preservation for Clients. - Kun Gao 006; Tianqing Zhu; Dayong Ye; Longxiang Gao; Wanlei Zhou 001 (J. Inf. Secur. Appl., 2025)

A survey on machine unlearning: Techniques and new emerged privacy risks. - Hengzhu Liu; Ping Xiong 001; Tianqing Zhu; Philip S. Yu (J. Inf. Secur. Appl., 2025)

Stand-in Model Protection: Synthetic defense for membership inference and model inversion attacks. - Huajie Chen; Tianqing Zhu; Shouling Ji; Wanlei Zhou 001 (Knowl. Based Syst., 2025)

SpatialIE: Towards adaptive floating waste detection in unpredictable weather. - Yifan Yin; Xiufeng Liu; Xu Cheng; Yusen Liu 001; Tianqing Zhu; Huan Huo (Knowl. Based Syst., 2025)

A novel dictionary attack on ECG authentication system using adversarial optimization and clustering. - Bonan Zhang; Lin Li 066; Chao Chen 015; Ickjai Lee; Kyungmi Lee; Tianqing Zhu; Kok-Leong Ong (Knowl. Based Syst., 2025)

CyberLLaMA: A fine-tuned large language model for cybersecurity named entity recognition. - Hao Zhang; Tingmin Wu; Tianqing Zhu; Sheng Wen; Yang Xiang 001 (Knowl. Based Syst., 2025)

ROSIN: Robust Semantic Image Hiding Network. - Yuan Zhao; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (Knowl. Based Syst., 2025)

The evolution of cooperation in continuous dilemmas via multi-agent reinforcement learning. - Congcong Zhu; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (Knowl. Based Syst., 2025)

Linkage on security, privacy and fairness in federated learning: New balances and new perspectives. - Linlin Wang; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (Neural Networks, 2025)

Generative Adversarial Networks Unlearning. - Hui Sun; Tianqing Zhu; Wenhan Chang; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Average and Strict GAN-Based Reconstruction for Adversarial Example Detection. - Hui Sun; Tianqing Zhu; Jie Li 002; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers. - Huan Tian; Guangsheng Zhang 004; Bo Liu 001; Tianqing Zhu; Ming Ding 001; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Don't Forget Too Much: Towards Machine Unlearning on Feature Level. - Heng Xu; Tianqing Zhu; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It. - Dayong Ye; Huiqiang Chen; Shuai Zhou 001; Tianqing Zhu; Wanlei Zhou 001; Shouling Ji (IEEE Trans. Dependable Secur. Comput., 2025)

Cooperating or Kicking Out: Defending Against Poisoning Attacks in Federated Learning via the Evolution of Cooperation. - Dayong Ye; Tianqing Zhu; Kun Gao 006; Congcong Zhu; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Trojan Attack on Machine Unlearning: Security Risk of the Right to be Forgotten. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2025)

QUEEN: Query Unlearning Against Model Extraction. - Huajie Chen; Tianqing Zhu; Lefeng Zhang; Bo Liu 001; Derui Wang; Wanlei Zhou 001; Minhui Xue 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Vertical Federated Unlearning via Backdoor Certification. - Mengde Han; Tianqing Zhu; Lefeng Zhang; Huan Huo; Wanlei Zhou 001 (IEEE Trans. Serv. Comput., 2025)

Federated Learning With Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach. - Xuhan Zuo; Minghao Wang; Tianqing Zhu; Lefeng Zhang; Shui Yu 001; Wanlei Zhou 001 (IEEE Trans. Serv. Comput., 2025)

The Frontier of Data Erasure: A Survey on Machine Unlearning for Large Language Models. - Youyang Qu; Ming Ding 001; Nan Sun 002; Kanchana Thilakarathna; Tianqing Zhu; Dusit Niyato (Computer, 2025)

Towards A Hybrid Quantum Differential Privacy. - Baobao Song; Shiva Raj Pokhrel; Athanasios V. Vasilakos; Tianqing Zhu; Gang Li 009 (CoRR, 2025)

BRC20 Snipping Attack. - Minfeng Qi; Qin Wang 008; Ningran Li; Shiping Chen 001; Tianqing Zhu (CoRR, 2025)

Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI. - Dayong Ye; Tianqing Zhu; Shang Wang; Bo Liu 001; Leo Yu Zhang; Wanlei Zhou 001; Yang Zhang (CoRR, 2025)

DreamCar: Leveraging Car-Specific Prior for In-the-Wild 3D Car Reconstruction. - Xiaobiao Du; Haiyang Sun; Ming Lu; Tianqing Zhu; Xin Yu 002 (IEEE Robotics Autom. Lett., 2025)

Safe and Reliable Diffusion Models via Subspace Projection. - Huiqiang Chen; Tianqing Zhu; Linlin Wang; Xin Yu 002; Longxiang Gao; Wanlei Zhou 001 (CoRR, 2025)

MultiFair: Model Fairness With Multiple Sensitive Attributes. - Huan Tian; Bo Liu 001; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)

Chain-of-Lure: A Synthetic Narrative-Driven Approach to Compromise Large Language Models. - Wenhan Chang; Tianqing Zhu; Yu Zhao; Shuangyong Song; Ping Xiong 001; Wanlei Zhou 001; Yongxiang Li (CoRR, 2025)

Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning. - Yufeng Wang; Yiguang Bai; Tianqing Zhu; Ismail Ben Ayed; Jing Yuan 001 (CoRR, 2025)

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs. - Linlin Wang; Tianqing Zhu; Laiqiao Qin; Longxiang Gao; Wanlei Zhou 001 (CoRR, 2025)

An Efficient Pairing-Free Certificateless Signcryption Scheme Under the Standard Model for VANET. - Xianxiang Liu; Yanwei Zhou; Bo Yang 003; Tianqing Zhu; Mingwu Zhang (IEEE Internet Things J., 2025)

Fine-Tuning a Biased Model for Improving Fairness. - Huiqiang Chen; Tianqing Zhu; Bo Liu 001; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)

Distilling Fair Representations From Fair Teachers. - Huan Tian; Bo Liu 001; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)

Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems. - Yizhe Xie; Congcong Zhu; Xinyue Zhang; Minghao Wang; Chi Liu 002; Minglu Zhu; Tianqing Zhu (CoRR, 2025)

Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting. - Changlu Chen; Yanbin Liu; Chaoxi Niu; Ling Chen; Tianqing Zhu (CoRR, 2025)

CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples. - Weijia Yang; Tian Lan 005; Leyuan Liu 002; Wei Chen; Tianqing Zhu; Sheng Wen; Xiaosong Zhang (CoRR, 2025)

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation. - Huiqiang Chen; Tianqing Zhu; Xin Yu 002; Wanlei Zhou 001 (CoRR, 2025)

A Provably Secure Certificateless Signature Scheme With Anonymity for Healthcare IIoT. - Zirui Qiao; Ran Xu 012; Yanwei Zhou; Bo Yang 003; Tianqing Zhu; Mingwu Zhang (IEEE Internet Things J., 2025)

AICAttack: Adversarial Image Captioning Attack with Attention-based Optimization. - Jiyao Li; Mingze Ni; Yifei Dong; Tianqing Zhu; Yongshun Gong; Wei Liu 007 (Mach. Intell. Res., 2025)

Large Language Models for Link Stealing Attacks Against Graph Neural Networks. - Faqian Guan; Tianqing Zhu; Hui Sun; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)

AFed: Algorithmic Fair Federated Learning. - Huiqiang Chen; Tianqing Zhu; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Toward Efficient Target-Level Machine Unlearning Based on Essential Graph. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Wei Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Price of Unlearning: Identifying Unlearning Risk in Edge Computing. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Everything Distributed and Asynchronous: A Practical System for Key Management Service. - Zhaoyang Xie; Haibin Zhang; Sisi Duan; Chao Liu 039; Shengli Liu 001; Xuanji Meng; Yong Yu 002; Fangguo Zhang; Boxin Zhao; Liehuang Zhu; Tianqing Zhu (IEEE Trans. Parallel Distributed Syst., 2025)

Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks. - Faqian Guan; Tianqing Zhu; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)