Breaking a novel colour image encryption algorithm based on chaos - Chengqing Li; Leo Yu Zhang; Rong Ou; Kwok-Wo Wong (CoRR, 2012)

Cryptanalyzing a chaos-based image encryption algorithm using alternate structure. - Leo Yu Zhang; Chengqing Li; Kwok-Wo Wong; Shi Shu; Guanrong Chen (J. Syst. Softw., 2012)

Breaking an image compression and encryption scheme based on Chinese Remainder Theorem. - Chengqing Li; Yuansheng Liu; Leo Yu Zhang; Kwok-Wo Wong (CoRR, 2013)

Breaking a Chaotic Image Encryption Algorithm Based on Modulo Addition and XOR Operation. - Chengqing Li; Yuansheng Liu; Leo Yu Zhang; Michael Z. Q. Chen (Int. J. Bifurc. Chaos, 2013)

A chaotic image encryption scheme owning temp-value feedback. - Leo Yu Zhang; Xiaobo Hu; Yuansheng Liu; Kwok-Wo Wong; Jie Gan (Commun. Nonlinear Sci. Numer. Simul., 2014)

Towards Secure Compressive Sampling Scheme. - Leo Yu Zhang; Kwok-Wo Wong; Chengqing Li; Yushu Zhang 001 (CoRR, 2014)

Embedding Cryptographic Features in Compressive Sensing. - Yushu Zhang 001; Kwok-Wo Wong; Di Xiao 001; Leo Yu Zhang; Ming Li 029 (CoRR, 2014)

Robust Coding of Encrypted Images via Structural Matrix. - Yushu Zhang 001; Kwok-Wo Wong; Leo Yu Zhang; Di Xiao 001 (CoRR, 2014)

Cryptanalyzing a class of image encryption schemes based on Chinese remainder theorem. - Chengqing Li; Yuansheng Liu; Leo Yu Zhang; Kwok-Wo Wong (Signal Process. Image Commun., 2014)

Joint quantization and diffusion for compressed sensing measurements of natural images. - Leo Yu Zhang; Kwok-Wo Wong; Yushu Zhang 001; Qiuzhen Lin (ISCAS, 2015)

Support-Set-Assured Parallel Outsourcing of Sparse Reconstruction Service for Compressive Sensing in Multi-clouds. - Yushu Zhang 001; Jiantao Zhou 001; Leo Yu Zhang; Fei Chen 003; Xinyu Lei (SocialSec, 2015)

Chosen-plaintext attack of an image encryption scheme based on modified permutation-diffusion structure. - Yuansheng Liu; Leo Yu Zhang; Jia Wang 008; Yushu Zhang 001; Kwok-Wo Wong (CoRR, 2015)

Robust coding of encrypted images via structural matrix. - Yushu Zhang 001; Kwok-Wo Wong; Leo Yu Zhang; Wenying Wen; Jiantao Zhou 001; Xing He 001 (Signal Process. Image Commun., 2015)

A Review of Compressive Sensing in Information Security Field. - Yushu Zhang 001; Leo Yu Zhang; Jiantao Zhou 001; Licheng Liu; Fei Chen 003; Xing He 001 (IEEE Access, 2016)

A Block Compressive Sensing Based Scalable Encryption Framework for Protecting Significant Image Regions. - Yushu Zhang 001; Jiantao Zhou 001; Fei Chen 003; Leo Yu Zhang; Di Xiao 001; Bin Chen; Xiaofeng Liao 001 (Int. J. Bifurc. Chaos, 2016)

Embedding cryptographic features in compressive sensing. - Yushu Zhang 001; Jiantao Zhou 001; Fei Chen 003; Leo Yu Zhang; Kwok-Wo Wong; Xing He 001; Di Xiao 001 (Neurocomputing, 2016)

Cryptanalyzing an image encryption algorithm based on scrambling and Veginère cipher. - Li Zeng; Renren Liu; Leo Yu Zhang; Yuansheng Liu; Kwok-Wo Wong (Multim. Tools Appl., 2016)

Bi-level Protected Compressive Sampling. - Leo Yu Zhang; Kwok-Wo Wong; Yushu Zhang 001; Jiantao Zhou 001 (IEEE Trans. Multim., 2016)

Cryptanalysis of Optical Ciphers Integrating Double Random Phase Encoding With Permutation. - Junxin Chen 001; Nan Bao; Jinchang Li; Zhiliang Zhu 001; Leo Yu Zhang (IEEE Access, 2017)

A local search enhanced differential evolutionary algorithm for sparse recovery. - Qiuzhen Lin; Bishan Hu; Ya Tang; Leo Yu Zhang; Jianyong Chen; Xiaomin Wang; Zhong Ming 001 (Appl. Soft Comput., 2017)

Security Analysis of Some Diffusion Mechanisms Used in Chaotic Ciphers. - Leo Yu Zhang; Yushu Zhang 001; Yuansheng Liu; Anjia Yang; Guanrong Chen (Int. J. Bifurc. Chaos, 2017)

Harnessing the Hybrid Cloud for Secure Big Image Data Service. - Yushu Zhang 001; Hui Huang 008; Yong Xiang 001; Leo Yu Zhang; Xing He 001 (IEEE Internet Things J., 2017)

Low-Cost and Confidentiality-Preserving Data Acquisition for Internet of Multimedia Things. - Yushu Zhang 001; Qi He; Yong Xiang 001; Leo Yu Zhang; Bo Liu 001; Junxin Chen 001; Yiyuan Xie (IEEE Internet Things J., 2018)

Improved known-plaintext attack to permutation-only multimedia ciphers. - Leo Yu Zhang; Yuansheng Liu; Cong Wang 001; Jiantao Zhou 001; Yushu Zhang 001; Guanrong Chen (Inf. Sci., 2018)

Exploiting the Security Aspects of Compressive Sampling. - Junxin Chen 001; Leo Yu Zhang; Yushu Zhang 001; Fabio Pareschi; Yu-Dong Yao (Secur. Commun. Networks, 2018)

On the Security of a Class of Diffusion Mechanisms for Image Encryption. - Leo Yu Zhang; Yuansheng Liu; Fabio Pareschi; Yushu Zhang 001; Kwok-Wo Wong; Riccardo Rovatti; Gianluca Setti (IEEE Trans. Cybern., 2018)

Fast detection of maximal exact matches via fixed sampling of query K-mers and Bloom filtering of index K-mers. - Yuansheng Liu; Leo Yu Zhang; Jinyan Li 001 (Bioinform., 2019)

Data-Driven Cybersecurity Incident Prediction: A Survey. - Nan Sun 002; Jun Zhang 010; Paul Rimba; Shang Gao 003; Leo Yu Zhang; Yang Xiang 001 (IEEE Commun. Surv. Tutorials, 2019)

Secure Wireless Communications Based on Compressive Sensing: A Survey. - Yushu Zhang 001; Yong Xiang 001; Leo Yu Zhang; Yue Rong; Song Guo 001 (IEEE Commun. Surv. Tutorials, 2019)

Static malware clustering using enhanced deep embedding method. - Chee Keong Ng; Frank Jiang 001; Leo Yu Zhang; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2019)

Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis. - Junxin Chen 001; Jiazhu Xing; Leo Yu Zhang; Lin Qi 002 (Int. J. Distributed Sens. Networks, 2019)

Dynamic Scalable Elliptic Curve Cryptographic Scheme and Its Application to In-Vehicle Security. - Jia Wang 008; Jianqiang Li 001; Huihui Wang 001; Leo Yu Zhang; Lee-Ming Cheng; Qiuzhen Lin (IEEE Internet Things J., 2019)

Efficiently and securely outsourcing compressed sensing reconstruction to a cloud. - Yushu Zhang 001; Yong Xiang 001; Leo Yu Zhang; Lu-Xing Yang; Jiantao Zhou 001 (Inf. Sci., 2019)

Compressed Sensing Based Selective Encryption With Data Hiding Capability. - Jia Wang 008; Leo Yu Zhang; Junxin Chen 001; Guang Hua 001; Yushu Zhang 001; Yong Xiang 001 (IEEE Trans. Ind. Informatics, 2019)

A New Rabin-Type Cryptosystem with Modulus p2q. - Digby Mooney; Lynn Margaret Batten; Leo Yu Zhang (ATIS, 2020)

A New Interval Preference Model and Corresponding Fuzzy Similarity Measure for Collaborative Filtering. - Yong Wang 009; Pengyu Wang; Xuhui Zhao; Zhuo Liu; Leo Yu Zhang (BigDataService, 2020)

Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence. - Nan Sun 002; Jun Zhang 010; Shang Gao 003; Leo Yu Zhang; Seyit Camtepe; Yang Xiang 001 (NSS, 2020)

Protecting IP of Deep Neural Networks with Watermarking: A New Label Helps. - Qi Zhong; Leo Yu Zhang; Jun Zhang 010; Longxiang Gao; Yong Xiang 001 (PAKDD (2), 2020)

Protecting the Intellectual Property of Deep Neural Networks with Watermarking: The Frequency Domain Approach. - Meng Li; Qi Zhong; Leo Yu Zhang; Yajuan Du; Jun Zhang 010; Yong Xiang 001 (TrustCom, 2020)

VoterChoice: A ransomware detection honeypot with multiple voting framework. - Chee Keong Ng; Sutharshan Rajasegarar; Lei Pan 002; Frank Jiang 001; Leo Yu Zhang (Concurr. Comput. Pract. Exp., 2020)

Design and Analysis on a Parallel Chaos-Based Hash Function. - Zhuo Liu; Yong Wang 009; Gongkun Jiang; Leo Yu Zhang (Int. J. Bifurc. Chaos, 2020)

A Hybrid Key Agreement Scheme for Smart Homes Using the Merkle Puzzle. - Yuexin Zhang; Xinyi Huang 001; Xiaofeng Chen 001; Leo Yu Zhang; Jun Zhang 010; Yang Xiang 001 (IEEE Internet Things J., 2020)

A genetic algorithm for constructing bijective substitution boxes with high nonlinearity. - Yong Wang 009; Zhiqiang Zhang; Leo Yu Zhang; Jun Feng 007; Jerry Gao 002; Peng Lei (Inf. Sci., 2020)

Informed Histogram-Based Watermarking. - Guang Hua 001; Yong Xiang 001; Leo Yu Zhang (IEEE Signal Process. Lett., 2020)

You Can Access but You Cannot Leak: Defending Against Illegal Content Redistribution in Encrypted Cloud Media Center. - Leo Yu Zhang; Yifeng Zheng; Jian Weng 001; Cong Wang 001; Zihao Shan; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2020)

My Security: An interactive search engine for cybersecurity. - Nan Sun 002; Jun Zhang 010; Shang Gao 003; Leo Yu Zhang; Seyit Camtepe; Yang Xiang 001 (HICSS, 2021)

AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch. - Shengshan Hu; Yechao Zhang; Xiaogeng Liu; Leo Yu Zhang; Minghui Li; Hai Jin 001 (ACM Multimedia, 2021)

Shielding Federated Learning: A New Attack Approach and Its Defense. - Wei Wan; Jianrong Lu; Shengshan Hu; Leo Yu Zhang; Xiaobing Pei (WCNC, 2021)

Self-Supervised Adversarial Example Detection by Disentangled Representation. - Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Shengshan Hu; Jinyu Tian 001; Jiantao Zhou 001 (CoRR, 2021)

CREAMS: Copyrighted Cloud Media Sharing. - Yushu Zhang 001; Xiangli Xiao; Leo Yu Zhang; Zhe Liu 001; Jiwu Huang (CoRR, 2021)

From Chaos to Pseudo-Randomness: A Case Study on the 2D Coupled Map Lattice. - Yong Wang 009; Zhuo Liu; Leo Yu Zhang; Fabio Pareschi; Gianluca Setti; Guanrong Chen (CoRR, 2021)

Challenges and approaches for mitigating byzantine attacks in federated learning. - Shengshan Hu; Jianrong Lu; Wei Wan; Leo Yu Zhang (CoRR, 2021)

A new item similarity based on α-divergence for collaborative filtering in sparse data. - Yong Wang 009; Pengyu Wang; Zhuo Liu; Leo Yu Zhang (Expert Syst. Appl., 2021)

An effective and efficient fuzzy approach for managing natural noise in recommender systems. - Pengyu Wang; Yong Wang 009; Leo Yu Zhang; Hong Zhu 003 (Inf. Sci., 2021)

Deep neural-based vulnerability discovery demystified: data, model and performance. - Guanjun Lin; Wei Xiao; Leo Yu Zhang; Shang Gao 003; Yonghang Tai; Jun Zhang 010 (Neural Comput. Appl., 2021)

A Novel Compressive Image Encryption with an Improved 2D Coupled Map Lattice Model. - Zhuo Liu; Yong Wang 009; Leo Yu Zhang; Jun Ma 003 (Secur. Commun. Networks, 2021)

Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds. - Yushu Zhang 001; Jiantao Zhou 001; Yong Xiang 001; Leo Yu Zhang; Fei Chen 003; Shaoning Pang 001; Xiaofeng Liao 001 (IEEE Trans. Big Data, 2021)

Re-Evaluation of the Security of a Family of Image Diffusion Mechanisms. - Junxin Chen 001; Leo Yu Zhang; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2021)

Towards Private and Scalable Cross-Media Retrieval. - Shengshan Hu; Leo Yu Zhang; Qian Wang 002; Zhan Qin; Cong Wang 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Working Mechanism of Eternalblue and Its Application in Ransomworm. - Zian Liu; Chao Chen 015; Leo Yu Zhang; Shang Gao 003 (CSS, 2022)

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. - Shengshan Hu; Xiaogeng Liu; Yechao Zhang; Minghui Li; Leo Yu Zhang; Hai Jin 001; Libing Wu (CVPR, 2022)

Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting. - Qi Zhong; Leo Yu Zhang; Shengshan Hu; Longxiang Gao; Jun Zhang 010; Yong Xiang 001 (ICME, 2022)

A Generic Enhancer for Backdoor Attacks on Deep Neural Networks. - Bilal Hussain Abbasi; Qi Zhong; Leo Yu Zhang; Shang Gao 003; Antonio Robles-Kelly; Robin Doss (ICONIP (7), 2022)

Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers. - Zhibin Zheng; Zhongyun Hua; Leo Yu Zhang (ICONIP (3), 2022)

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. - Wei Wan; Shengshan Hu; Jianrong Lu; Leo Yu Zhang; Hai Jin 001; Yuanyuan He 002 (IJCAI, 2022)

Towards Privacy-Preserving Neural Architecture Search. - Fuyi Wang; Leo Yu Zhang; Lei Pan 002; Shengshan Hu; Robin Doss (ISCC, 2022)

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. - Shengshan Hu; Ziqi Zhou 001; Yechao Zhang; Leo Yu Zhang; Yifeng Zheng; Yuanyuan He 002; Hai Jin 001 (ACM Multimedia, 2022)

Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. - Minghui Li; Wei Wan; Jianrong Lu; Shengshan Hu; Junyu Shi; Leo Yu Zhang; Man Zhou; Yifeng Zheng (MSN, 2022)

A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks. - Guizhen Yang; Mengmeng Ge 001; Shang Gao 003; Xuequan Lu; Leo Yu Zhang; Robin Doss (NSS, 2022)

Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning. - Junyu Shi; Wei Wan; Shengshan Hu; Jianrong Lu; Leo Yu Zhang (TrustCom, 2022)

Self-Supervised Adversarial Example Detection by Disentangled Representation. - Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Jinyu Tian 001; Jiantao Zhou 001 (TrustCom, 2022)

Defining Security Requirements With the Common Criteria: Applications, Adoptions, and Challenges. - Nan Sun 002; Chang-Tsun Li; Hin Chan; Ba Dung Le; Md Zahidul Islam 001; Leo Yu Zhang; Md. Rafiqul Islam 001; Warren Armstrong (IEEE Access, 2022)

Evaluating Membership Inference Through Adversarial Robustness. - Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Bilal Hussain Abbasi; Shengshan Hu (Comput. J., 2022)

Performance of the 2D Coupled Map Lattice Model and Its Application in Image Encryption. - Zhuo Liu; Jinyuan Liu 005; Leo Yu Zhang; Yong Zhao; Xiao Feng Gong (Complex., 2022)

M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning Models. - Linshan Hou; Zhongyun Hua; Yuhong Li; Leo Yu Zhang (CoRR, 2022)

A differentially private matrix factorization based on vector perturbation for recommender system. - Xun Ran; Yong Wang 009; Leo Yu Zhang; Jun Ma 003 (Neurocomputing, 2022)

A differentially private nonnegative matrix factorization for recommender system. - Xun Ran; Yong Wang 009; Leo Yu Zhang; Jun Ma 003 (Inf. Sci., 2022)

A collaborative filtering algorithm based on item labels and Hellinger distance for sparse data. - Yong Wang 009; Xuhui Zhao; Zhiqiang Zhang; Leo Yu Zhang (J. Inf. Sci., 2022)

Semantic-Aware Privacy-Preserving Online Location Trajectory Data Sharing. - Zhirun Zheng; Zhetao Li; Hongbo Jiang 001; Leo Yu Zhang; Dengbiao Tu (IEEE Trans. Inf. Forensics Secur., 2022)

Low-Cost and Confidential ECG Acquisition Framework Using Compressed Sensing and Chaotic Systems for Wireless Body Area Network. - Hui Zhang 016; Junxin Chen 001; Leo Yu Zhang; Chong Fu 001; Raffaele Gravina; Giancarlo Fortino; Zhihan Lv (IEEE J. Biomed. Health Informatics, 2022)

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. - Shengshan Hu; Junwei Zhang; Wei Liu 004; Junhui Hou; Minghui Li; Leo Yu Zhang; Hai Jin 001; Lichao Sun 001 (AAAI, 2023)

WiP: Towards Zero Trust Authentication in Critical Industrial Infrastructures with PRISM. - Fuyi Wang; Yanping Wang; Leo Yu Zhang; Yuval Hertzog; Michael Loewy; Dominique Valladolid; Julio Medeiros; Muna Al-Hawawreh; Robin Doss (ACNS Workshops, 2023)

Predicate Private Set Intersection with Linear Complexity. - Yaxi Yang; Jian Weng 001; Yufeng Yi; Changyu Dong; Leo Yu Zhang; Jianying Zhou 001 (ACNS, 2023)

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks. - Mengyao Ma; Yanjun Zhang; Mahawaga Arachchige Pathum Chamikara; Leo Yu Zhang; Mohan Baruwal Chhetri; Guangdong Bai (AsiaCCS, 2023)

Masked Language Model Based Textual Adversarial Example Detection. - Xiaomei Zhang; Zhaoxi Zhang; Qi Zhong; Xufei Zheng; Yanjun Zhang; Shengshan Hu; Leo Yu Zhang (AsiaCCS, 2023)

Preserving Privacy of Input Features Across All Stages of Collaborative Learning. - Jianrong Lu; Lulu Xue; Wei Wan; Minghui Li; Leo Yu Zhang; Shengqing Hu (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint. - Tianyang Cai; Yuqi Li; Tao Jia 001; Leo Yu Zhang; Zheng Yang 001 (CSCWD, 2023)

A Bottom-Up Capsule Network for Hierarchical Image Classification. - Khondaker Tasrif Noor; Antonio Robles-Kelly; Leo Yu Zhang; Mohamed Reda Bouadjenek (DICTA, 2023)

Downstream-agnostic Adversarial Examples. - Ziqi Zhou 001; Shengshan Hu; Ruizhi Zhao; Qian Wang 002; Leo Yu Zhang; Junhui Hou; Hai Jin 001 (ICCV, 2023)

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. - Hangtao Zhang; Zeming Yao; Leo Yu Zhang; Shengshan Hu; Chao Chen 015; Alan Wee-Chung Liew; Zhetao Li (IJCAI, 2023)

Backdoor Attack on Deep Neural Networks in Perception Domain. - Xiaoxing Mo; Leo Yu Zhang; Nan Sun 002; Wei Luo 001; Shang Gao 003 (IJCNN, 2023)

PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. - Shengshan Hu; Wei Liu 004; Minghui Li; Yechao Zhang; Xiaogeng Liu; Xianlong Wang 001; Leo Yu Zhang; Junhui Hou (ACM Multimedia, 2023)

A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. - Wei Wan; Shengshan Hu; Minghui Li; Jianrong Lu; Longling Zhang; Leo Yu Zhang; Hai Jin 001 (ACM Multimedia, 2023)

Towards Self-Interpretable Graph-Level Anomaly Detection. - Yixin Liu 001; Kaize Ding; Qinghua Lu 001; Fuyi Li; Leo Yu Zhang; Shirui Pan (NeurIPS, 2023)

SigA: rPPG-based Authentication for Virtual Reality Head-mounted Display. - Lin Li 066; Chao Chen 015; Lei Pan 002; Leo Yu Zhang; Jun Zhang 010; Yang Xiang 001 (RAID, 2023)

An Efficient Approach to Manage Natural Noises in Recommender Systems. - Chenhong Luo; Yong Wang 009; Bo Li; Hanyang Liu; Pengyu Wang; Leo Yu Zhang (Algorithms, 2023)

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. - Yechao Zhang; Shengshan Hu; Leo Yu Zhang; Junyu Shi; Minghui Li; Xiaogeng Liu; Wei Wan; Hai Jin 001 (CoRR, 2023)

Client-side Gradient Inversion Against Federated Learning from Poisoning. - Jiaheng Wei; Yanjun Zhang; Leo Yu Zhang; Chao Chen 015; Shirui Pan; Kok-Leong Ong; Jun Zhang 010; Yang Xiang 001 (CoRR, 2023)

Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models. - Mingfu Xue; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (CoRR, 2023)

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations. - Xianlong Wang 001; Shengshan Hu; Minghui Li; Zhifei Yu; Ziqi Zhou 001; Leo Yu Zhang; Hai Jin 001 (CoRR, 2023)

PriRanGe: Privacy-Preserving Range-Constrained Intersection Query Over Genomic Data. - Yaxi Yang; Yao Tong; Jian Weng 001; Yufeng Yi; Yandong Zheng; Leo Yu Zhang; Rongxing Lu (IEEE Trans. Cloud Comput., 2023)

From Chaos to Pseudorandomness: A Case Study on the 2-D Coupled Map Lattice. - Yong Wang 009; Zhuo Liu; Leo Yu Zhang; Fabio Pareschi; Gianluca Setti; Guanrong Chen (IEEE Trans. Cybern., 2023)

Cyber Information Retrieval Through Pragmatics Understanding and Visualization. - Nan Sun 002; Jun Zhang 010; Shang Gao 003; Leo Yu Zhang; Seyit Camtepe; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Buffeting Chaotification Model for Enhancing Chaos and Its Hardware Implementation. - Zhiqiang Zhang; Hong Zhu 003; Pengxin Ban; Yong Wang 009; Leo Yu Zhang (IEEE Trans. Ind. Electron., 2023)

An improved matrix factorization with local differential privacy based on piecewise mechanism for recommendation systems. - Yong Wang 009; Mingxing Gao; Xun Ran; Jun Ma 003; Leo Yu Zhang (Expert Syst. Appl., 2023)

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources. - Jiangzhou Deng; Xun Ran; Yong Wang 009; Leo Yu Zhang; Junpeng Guo (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Providing prediction reliability through deep neural networks for recommender systems. - Jiangzhou Deng; Hongtao Li; Junpeng Guo; Leo Yu Zhang; Yong Wang 009 (Comput. Ind. Eng., 2023)

A Survey of PPG's Application in Authentication. - Lin Li 066; Chao Chen 015; Lei Pan 002; Leo Yu Zhang; Zhifeng Wang; Jun Zhang 010; Yang Xiang 001 (Comput. Secur., 2023)

Conditional Backdoor Attack via JPEG Compression. - Qiuyu Duan; Zhongyun Hua; Qing Liao 001; Yushu Zhang 001; Leo Yu Zhang (AAAI, 2024)

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. - Di Mi; Yanjun Zhang; Leo Yu Zhang; Shengshan Hu; Qi Zhong; Haizhuan Yuan; Shirui Pan (AAAI, 2024)

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. - Lulu Xue; Shengshan Hu; Ruizhi Zhao; Leo Yu Zhang; Shengqing Hu; Lichao Sun 001; Dezhong Yao 002 (AAAI, 2024)

Tracking the Leaker: An Encodable Watermarking Method for Dataset Intellectual Property Protection. - Yifan Shang; Mingfu Xue; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (ACM TUR-C, 2024)

An Imperceptible and Owner-unique Watermarking Method for Graph Neural Networks. - Linji Zhang; Mingfu Xue; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (ACM TUR-C, 2024)

Stealing Watermarks of Large Language Models via Mixed Integer Programming. - Zhaoxi Zhang; Xiaomei Zhang; Yanjun Zhang; Leo Yu Zhang; Chao Chen 015; Shengshan Hu; Asif Gill; Shirui Pan (ACSAC, 2024)

CryptGraph: An Efficient Privacy-Enhancing Solution for Accurate Shortest Path Retrieval in Cloud Environments. - Fuyi Wang; Zekai Chen; Lei Pan 002; Leo Yu Zhang; Jianying Zhou 001 (AsiaCCS, 2024)

Backdoor Attacks and Generative Model Fairness: Current Trends and Future Research Directions. - Ryan Holland; Shantanu Pal; Lei Pan 002; Leo Yu Zhang (COMSNETS, 2024)

TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation. - Fuyi Wang; Jinzhi Ouyang; Lei Pan 002; Leo Yu Zhang; Xiaoning Liu 002; Yanping Wang; Robin Doss (ECAI, 2024)

ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification. - Xianlong Wang 001; Shengshan Hu; Yechao Zhang; Ziqi Zhou 001; Leo Yu Zhang; Peng Xu 003; Wei Wan; Hai Jin 001 (ESORICS (1), 2024)

PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds. - Xianlong Wang 001; Minghui Li; Peng Xu 003; Wei Liu 004; Leo Yu Zhang; Shengshan Hu; Yanjun Zhang (ESORICS (1), 2024)

MISA: Unveiling the Vulnerabilities in Split Federated Learning. - Wei Wan; Yuxuan Ning; Shengshan Hu; Lulu Xue; Minghui Li; Leo Yu Zhang; Hai Jin 001 (ICASSP, 2024)

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. - Linshan Hou; Ruili Feng; Zhongyun Hua; Wei Luo 001; Leo Yu Zhang; Yiming Li 004 (ICML, 2024)

DarkFed: A Data-Free Backdoor Attack in Federated Learning. - Minghui Li; Wei Wan; Yuxuan Ning; Shengshan Hu; Lulu Xue; Leo Yu Zhang; Yichen Wang (IJCAI, 2024)

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World. - Hangtao Zhang; Shengshan Hu; Yichen Wang; Leo Yu Zhang; Ziqi Zhou 001; Xianlong Wang 001; Yanjun Zhang; Chao Chen 015 (IJCAI, 2024)

DERD: Data-free Adversarial Robustness Distillation through Self-adversarial Teacher Group. - Yuhang Zhou; Yushu Zhang 001; Leo Yu Zhang; Zhongyun Hua (ACM Multimedia, 2024)

DarkSAM: Fooling Segment Anything Model to Segment Nothing. - Ziqi Zhou 001; Yufei Song; Minghui Li; Shengshan Hu; Xianlong Wang 001; Leo Yu Zhang; Dezhong Yao 002; Hai Jin 001 (NeurIPS, 2024)

Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. - Xiaoxing Mo; Yechao Zhang; Leo Yu Zhang; Wei Luo 001; Nan Sun 002; Shengshan Hu; Shang Gao 003; Yang Xiang 001 (SP, 2024)

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. - Yechao Zhang; Shengshan Hu; Leo Yu Zhang; Junyu Shi; Minghui Li; Xiaogeng Liu; Wei Wan; Hai Jin 001 (SP, 2024)

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. - Ziqi Zhou 001; Minghui Li; Wei Liu 004; Shengshan Hu; Yechao Zhang; Wei Wan; Lulu Xue; Leo Yu Zhang; Dezhong Yao 002; Hai Jin 001 (SP, 2024)

Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication. - Zeming Yao; Lin Li 066; Leo Yu Zhang; Fusen Guo; Chao Chen 015; Jun Zhang 010 (WISE (2), 2024)

Fluent: Round-efficient Secure Aggregation for Private Federated Learning. - Xincheng Li; Jianting Ning; Geong Sen Poh; Leo Yu Zhang; Xinchun Yin; Tianwei Zhang 004 (CoRR, 2024)

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness. - Hangtao Zhang; Shengshan Hu; Yichen Wang; Leo Yu Zhang; Ziqi Zhou 001; Xianlong Wang 001; Yanjun Zhang; Chao Chen 015 (CoRR, 2024)

Algorithmic Fairness: A Tolerance Perspective. - Renqiang Luo; Tao Tang 007; Feng Xia 001; Jiaying Liu 001; Chengpei Xu; Leo Yu Zhang; Wei Xiang; Chengqi Zhang (CoRR, 2024)

Large Language Model Watermark Stealing With Mixed Integer Programming. - Zhaoxi Zhang; Xiaomei Zhang; Yanjun Zhang; Leo Yu Zhang; Chao Chen 015; Shengshan Hu; Asif Gill; Shirui Pan (CoRR, 2024)

Memorization in deep learning: A survey. - Jiaheng Wei; Yanjun Zhang; Leo Yu Zhang; Ming Ding 001; Chao Chen 015; Kok-Leong Ong; Jun Zhang 010; Yang Xiang 001 (CoRR, 2024)

BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World. - Hangtao Zhang; Chenyu Zhu; Xianlong Wang 001; Ziqi Zhou 001; Shengshan Hu; Leo Yu Zhang (CoRR, 2024)

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization. - Yuhao He 001; Jinyu Tian 001; Xianwei Zheng; Li Dong 006; Yuanman Li; Leo Yu Zhang; Jiantao Zhou 001 (CoRR, 2024)

TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World. - Xianlong Wang 001; Hewen Pan; Hangtao Zhang; Minghui Li; Shengshan Hu; Ziqi Zhou 001; Lulu Xue; Peijin Guo; Yichen Wang; Wei Wan; Aishan Liu; Leo Yu Zhang (CoRR, 2024)

FLARE: Towards Universal Dataset Purification against Backdoor Attacks. - Linshan Hou; Wei Luo 001; Zhongyun Hua; Songhua Chen; Leo Yu Zhang; Yiming Li 004 (CoRR, 2024)

PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation. - Yufei Song; Ziqi Zhou 001; Minghui Li; Xianlong Wang 001; Menghao Deng; Wei Wan; Shengshan Hu; Leo Yu Zhang (CoRR, 2024)

Blockchain-based efficient verifiable outsourced attribute-based encryption in cloud. - Zesen Hou; Jianting Ning; Xinyi Huang 001; Shengmin Xu; Leo Yu Zhang (Comput. Stand. Interfaces, 2024)

A consistency-aware deep capsule network for hierarchical multi-label image classification. - Khondaker Tasrif Noor; Antonio Robles-Kelly; Leo Yu Zhang; Mohamed Reda Bouadjenek; Wei Luo 001 (Neurocomputing, 2024)

Multireceiver Conditional Anonymous Singcryption for IoMT Crowdsourcing. - Yanping Wang; Xiaosong Zhang 001; Ruidong Chen; Hong-Ning Dai; Xiaofen Wang; Leo Yu Zhang; Ming Li 029 (IEEE Internet Things J., 2024)

Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback. - Hanyang Liu; Yong Wang 009; Zhiqiang Zhang; Jiangzhou Deng; Chao Chen 015; Leo Yu Zhang (Inf. Process. Manag., 2024)

PriGenX: Privacy-Preserving Query With Anonymous Access Control for Genomic Data. - Yaxi Yang; Jian Weng 001; Yao Tong; Jia-Nan Liu; Zhenghao Wu; Leo Yu Zhang; Anjia Yang (IEEE Trans. Dependable Secur. Comput., 2024)

Reverse Backdoor Distillation: Towards Online Backdoor Attack Detection for Deep Neural Network Models. - Zeming Yao; Hangtao Zhang; Yicheng Guo; Xin Tian 015; Wei Peng 011; Yi Zou; Leo Yu Zhang; Chao Chen 015 (IEEE Trans. Dependable Secur. Comput., 2024)

AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification. - Zirui Gong; Liyue Shen; Yanjun Zhang; Leo Yu Zhang; Jingwei Wang 003; Guangdong Bai; Yong Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning. - Jianrong Lu; Shengshan Hu; Wei Wan; Minghui Li; Leo Yu Zhang; Lulu Xue; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Untargeted Backdoor Attack Against Deep Neural Networks With Imperceptible Trigger. - Mingfu Xue; Yinghao Wu; Shifeng Ni; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (IEEE Trans. Ind. Informatics, 2024)

Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring. - Kai Fang 001; Wei Wang 077; Marcin Wozniak; Qingchen Zhang 001; Keping Yu; Junxin Chen 001; Amr Tolba; Leo Yu Zhang (IEEE J. Biomed. Health Informatics, 2024)

An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features. - Mingfu Xue; Xin Wang; Yinghao Wu; Shifeng Ni; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (IEEE Trans. Artif. Intell., 2024)

FairCMS: Cloud Media Sharing With Fair Copyright Protection. - Xiangli Xiao; Yushu Zhang 001; Leo Yu Zhang; Zhongyun Hua; Zhe Liu 001; Jiwu Huang (IEEE Trans. Comput. Soc. Syst., 2024)

SSAT: Active Authorization Control and User's Fingerprint Tracking Framework for DNN IP Protection. - Mingfu Xue; Yinghao Wu; Leo Yu Zhang; Dujuan Gu; Yushu Zhang 001; Weiqiang Liu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to Deep Learning Models. - Linshan Hou; Zhongyun Hua; Yuhong Li; Yifeng Zheng; Leo Yu Zhang (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Reinforcement Learning-Based ELF Adversarial Malicious Sample Generation Method. - Mingfu Xue; Jinlong Fu; Zhiyuan Li; Shifeng Ni; Heyi Wu; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Towards Threshold Anonymous Announcement With Batch Verification for Cooperative Intelligent Transport Systems. - Yanping Wang; Leo Yu Zhang; Xiaosong Zhang 001; Xiaofen Wang; Fuyi Wang; Shengshan Hu; Robin Doss (IEEE Trans. Veh. Technol., 2024)

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. - Ziqi Zhou 001; Bowen Li; Yufei Song; Zhifei Yu; Shengshan Hu; Wei Wan; Leo Yu Zhang; Dezhong Yao 002; Hai Jin 001 (AAAI, 2025)

Detecting and Corrupting Convolution-based Unlearnable Examples. - Minghui Li; Xianlong Wang 001; Zhifei Yu; Shengshan Hu; Ziqi Zhou 001; Longling Zhang; Leo Yu Zhang (AAAI, 2025)

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization. - Yechao Zhang; Yingzhe Xu; Junyu Shi; Leo Yu Zhang; Shengshan Hu; Minghui Li; Yanjun Zhang (AAAI, 2025)

sf SEBioID: Secure and Efficient Biometric Identification with Two-Party Computation. - Fuyi Wang; Jinzhi Ouyang; Leo Yu Zhang; Lei Pan 002; Shengshan Hu; Robin Doss; Jianying Zhou 001 (ACNS (3), 2025)

Test-Time Backdoor Detection for Object Detection Models. - Hangtao Zhang; Yichen Wang; Shihui Yan; Chenyu Zhu; Ziqi Zhou 001; Linshan Hou; Shengshan Hu; Minghui Li; Yanjun Zhang; Leo Yu Zhang (CVPR, 2025)

PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation. - Yufei Song; Ziqi Zhou 001; Minghui Li; Xianlong Wang 001; Hangtao Zhang; Menghao Deng; Wei Wan; Shengshan Hu; Leo Yu Zhang (ICASSP, 2025)

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. - Hangtao Zhang; Chenyu Zhu; Xianlong Wang 001; Ziqi Zhou 001; Changgan Yin; Minghui Li; Lulu Xue; Yichen Wang; Shengshan Hu; Aishan Liu; Peijin Guo; Leo Yu Zhang (ICLR, 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)

Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks. - Xiaoxing Mo; Nan Sun 002; Leo Yu Zhang; Wei Luo 001; Shang Gao 003; Yong Xiang 001 (PAKDD (4), 2025)

Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning. - Zirui Gong; Yanjun Zhang; Leo Yu Zhang; Zhaoxi Zhang; Yong Xiang 001; Shirui Pan (SP, 2025)

Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset. - Yechao Zhang; Yuxuan Zhou; Tianyu Li; Minghui Li; Shengshan Hu; Wei Luo 001; Leo Yu Zhang (SP, 2025)

Differentially private recommendation algorithm based on diffusion model and Rényi similarity. - Yongdong Wang; Yong Wang 009; Zhiqiang Zhang; Jiangzhou Deng; Jianmei Ye; Leo Yu Zhang (Inf. Sci., 2025)

FixGuard: Repairing Backdoored Models via Class-Wise Trigger Recovery and Unlearning. - Linshan Hou; Zhongyun Hua; Wei Luo 001; Leo Yu Zhang (IEEE Signal Process. Lett., 2025)

FLARE: Toward Universal Dataset Purification Against Backdoor Attacks. - Linshan Hou; Wei Luo 001; Zhongyun Hua; Songhua Chen; Leo Yu Zhang; Yiming Li 004 (IEEE Trans. Inf. Forensics Secur., 2025)

Extracting Private Training Data in Federated Learning From Clients. - Jiaheng Wei; Yanjun Zhang; Leo Yu Zhang; Chao Chen 015; Shirui Pan; Kok-Leong Ong; Jun Zhang 010; Yang Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

An Active Authorization Control Method for Deep Reinforcement Learning Model Based on GANs and Adaptive Trigger. - Mingfu Xue; Kewei Chen 004; Leo Yu Zhang; Yushu Zhang 001; Weiqiang Liu 001 (IEEE Trans. Inf. Forensics Secur., 2025)

DarkHash: A Data-Free Backdoor Attack Against Deep Hashing. - Ziqi Zhou 001; Menghao Deng; Yufei Song; Hangtao Zhang; Wei Wan; Shengshan Hu; Minghui Li; Leo Yu Zhang; Dezhong Yao 002 (IEEE Trans. Inf. Forensics Secur., 2025)

MedShield: A Fast Cryptographic Framework for Private Multi-Service Medical Diagnosis. - Fuyi Wang; Jinzhi Ouyang; Xiaoning Liu 002; Lei Pan 002; Leo Yu Zhang; Robin Doss (IEEE Trans. Serv. Comput., 2025)

Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning. - Dayong Ye; Tainqing Zhu; Jiayang Li; Kun Gao 006; Bo Liu 001; Leo Yu Zhang; Wanlei Zhou 001; Yang Zhang (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)

Boosting Deepfake Detection Generalizability via Expansive Learning and Confidence Judgement. - Kuiyuan Zhang; Zeming Hou; Zhongyun Hua; Yifeng Zheng; Leo Yu Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Distributed Differentially Private Matrix Factorization for Implicit Data via Secure Aggregation. - Chenhong Luo; Yong Wang 009; Yanjun Zhang; Leo Yu Zhang (IEEE Trans. Computers, 2025)

Multimodal Chaotification Model With Hardware Implementation. - Zhiqiang Zhang; Hong Zhu 003; Pengxin Ban; Yong Wang 009; Leo Yu Zhang (IEEE Trans. Ind. Electron., 2025)

Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning. - Zhangting Lin; Mingfu Xue; Kewei Chen 004; Wenmao Liu; Xiang Gao; Leo Yu Zhang; Jian Wang 038; Yushu Zhang 001 (CoRR, 2025)

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks. - Xiaomei Zhang; Zhaoxi Zhang; Yanjun Zhang; Xufei Zheng; Leo Yu Zhang; Shengshan Hu; Shirui Pan (CoRR, 2025)

Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets. - Yechao Zhang; Yuxuan Zhou; Tianyu Li; Minghui Li; Shengshan Hu; Wei Luo 001; Leo Yu Zhang (CoRR, 2025)

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach. - Huazi Pan; Yanjun Zhang; Leo Yu Zhang; Scott D. Adams; Abbas Z. Kouzani; Suiyang Khoo (CoRR, 2025)

Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning. - Peijin Guo; Minghui Li; Hewen Pan; Bowen Chen; Yang Wu; Zikang Guo; Leo Yu Zhang; Shengshan Hu; Shengqing Hu (CoRR, 2025)

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. - Ruining Sun; Hongsheng Hu; Wei Luo 001; Zhaoxi Zhang; Yanjun Zhang; Haizhuan Yuan; Leo Yu Zhang (CoRR, 2025)

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks. - Xiaoxing Mo; Yuxuan Cheng; Nan Sun 002; Leo Yu Zhang; Wei Luo 001; Shang Gao 003 (CoRR, 2025)

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions. - Lulu Xue; Shengshan Hu; Wei Lu; Yan Shen; Dongxu Li; Peijin Guo; Ziqi Zhou 001; Minghui Li; Yanjun Zhang; Leo Yu Zhang (CoRR, 2025)

BiMark: Unbiased Multilayer Watermarking for Large Language Models. - Xiaoyan Feng; He Zhang 012; Yanjun Zhang; Leo Yu Zhang; Shirui Pan (CoRR, 2025)

ConSeg: Contextual Backdoor Attack Against Semantic Segmentation. - Bilal Hussain Abbasi; Zirui Gong; Yanjun Zhang; Shang Gao 003; Antonio Robles-Kelly; Leo Yu Zhang (CoRR, 2025)