Context-Aware Usage Control for Android. - Guangdong Bai; Liang Gu; Tao Feng; Yao Guo 001; Xiangqun Chen (SecureComm, 2010)

Security model oriented attestation on dynamically reconfigurable component-based systems. - Liang Gu; Guangdong Bai; Yao Guo 001; Xiangqun Chen; Hong Mei 001 (J. Netw. Comput. Appl., 2012)

A Software Environment for Confining Malicious Android Applications via Resource Virtualization. - Xiaolei Li; Guangdong Bai; Zhenkai Liang; Heng Yin 001 (ICECCS, 2013)

vTRUST: A Formal Modeling and Verification Framework for Virtualization Systems. - Jianan Hao; Yang Liu 003; Wentong Cai 001; Guangdong Bai; Jun Sun 001 (ICFEM, 2013)

AUTHSCAN: Automatic Extraction of Web Authentication Protocols from Implementations. - Guangdong Bai; Jike Lei; Guozhu Meng; Sai Sathyanarayan Venkatraman; Prateek Saxena; Jun Sun 001; Yang Liu 003; Jin Song Dong (NDSS, 2013)

TrustFound: Towards a Formal Foundation for Model Checking Trusted Computing Platforms. - Guangdong Bai; Jianan Hao; Jianliang Wu 002; Yang Liu 003; Zhenkai Liang; Andrew P. Martin (FM, 2014)

DroidVault: A Trusted Data Vault for Android Devices. - Xiaolei Li; Hong Hu 004; Guangdong Bai; Yaoqi Jia; Zhenkai Liang; Prateek Saxena (ICECCS, 2014)

A Light-Weight Software Environment for Confining Android Malware. - Xiaolei Li; Guangdong Bai; Benjamin Thian; Zhenkai Liang; Heng Yin 001 (SERE (Companion), 2014)

Context-aware usage control for web of things. - Guangdong Bai; Lin Yan; Liang Gu; Yao Guo 001; Xiangqun Chen (Secur. Commun. Networks, 2014)

Reevaluating Android Permission Gaps with Static and Dynamic Analysis. - Haoyu Wang 001; Yao Guo 001; Zihao Tang; Guangdong Bai; Xiangqun Chen (GLOBECOM, 2015)

All Your Sessions Are Belong to Us: Investigating Authenticator Leakage through Backup Channels on Android. - Guangdong Bai; Jun Sun 001; Jianliang Wu 002; Quanqi Ye; Li Li 044; Jin Song Dong; Shanqing Guo (ICECCS, 2015)

Formal Analysis of a Single Sign-On Protocol Implementation for Android. - Quanqi Ye; Guangdong Bai; Kailong Wang 001; Jin Song Dong (ICECCS, 2015)

Automatic Construction of Callback Model for Android Application. - Chenkai Guo; Quanqi Ye; Naipeng Dong; Guangdong Bai; Jin Song Dong; Jing Xu 008 (ICECCS, 2016)

Towards Using Concurrent Java API Correctly. - Shuang Liu 007; Guangdong Bai; Jun Sun 001; Jin Song Dong (ICECCS, 2016)

Anonymity in Peer-assisted CDNs: Inference Attacks and Mitigation. - Yaoqi Jia; Guangdong Bai; Prateek Saxena; Zhenkai Liang (Proc. Priv. Enhancing Technol., 2016)

Secure and Efficient Software-based Attestation for Industrial Control Devices with ARM Processors. - Binbin Chen 001; Xinshu Dong; Guangdong Bai; Sumeet Jauhar; Yueqiang Cheng (ACSAC, 2017)

A Verification Framework for Stateful Security Protocols. - Li Li 044; Naipeng Dong; Jun Pang 001; Jun Sun 001; Guangdong Bai; Yang Liu 003; Jin Song Dong (ICFEM, 2017)

App genome: callback sequencing in Android. - Chenkai Guo; Naipeng Dong; Guangdong Bai; Quanqi Ye; Jin Song Dong; Jing Xu 008; Guannan Si (ICSE (Companion Volume), 2017)

Privilege Leakage and Information Stealing through the Android Task Mechanism. - Yinhao Xiao; Guangdong Bai; Jian Mao; Zhenkai Liang; Wei Cheng (PAC, 2017)

A Framework for Formal Analysis of Privacy on SSO Protocols. - Kailong Wang 001; Guangdong Bai; Naipeng Dong; Jin Song Dong 001 (SecureComm, 2017)

Inferring Implicit Assumptions and Correct Usage of Mobile Payment Protocols. - Quanqi Ye; Guangdong Bai; Naipeng Dong; Jin Song Dong 001 (SecureComm, 2017)

TwiInsight: Discovering Topics and Sentiments from Social Media Datasets. - Zhengkui Wang; Guangdong Bai; Soumyadeb Chowdhury; Quanqing Xu; Zhi Lin Seow (CoRR, 2017)

Analyzing Use of High Privileges on Android: An Empirical Case Study of Screenshot and Screen Recording Applications. - Mark Huasong Meng; Guangdong Bai; Joseph K. Liu; Xiapu Luo; Yu Wang 017 (Inscrypt, 2018)

HOMESCAN: Scrutinizing Implementations of Smart Home Integrations. - Kulani Tharaka Mahadewa; Kailong Wang 001; Guangdong Bai; Ling Shi 002; Jin Song Dong; Zhenkai Liang (ICECCS, 2018)

Formal Analysis of a Proof-of-Stake Blockchain. - Wai Yan Maung Maung Thin; Naipeng Dong; Guangdong Bai; Jin Song Dong (ICECCS, 2018)

Break the dead end of dynamic slicing: localizing data and control omission bug. - Yun Lin 001; Jun Sun 001; Lyly Tran; Guangdong Bai; Haijun Wang 002; Jin Song Dong 001 (ASE, 2018)

Detecting Malicious Behaviors in JavaScript Applications. - Jian Mao; Jingdong Bian; Guangdong Bai; Ruilong Wang; Yue Chen; Yinhao Xiao; Zhenkai Liang (IEEE Access, 2018)

DroidEcho: an in-depth dissection of malicious behaviors in Android applications. - Guozhu Meng; Ruitao Feng; Guangdong Bai; Kai Chen 012; Yang Liu 003 (Cybersecur., 2018)

Towards Model Checking Android Applications. - Guangdong Bai; Quanqi Ye; Yongzheng Wu; Heila Botha; Jun Sun 001; Yang Liu 003; Jin Song Dong; Willem Visser (IEEE Trans. Software Eng., 2018)

LightSense: A Novel Side Channel for Zero-permission Mobile User Tracking. - Quanqi Ye; Yan Zhang; Guangdong Bai; Naipeng Dong; Zhenkai Liang; Jin Song Dong 001; Haoyu Wang 001 (ISC, 2019)

DaPanda: Detecting Aggressive Push Notifications in Android Apps. - Tianming Liu 002; Haoyu Wang 001; Li Li 029; Guangdong Bai; Yao Guo 001; Guoai Xu (ASE, 2019)

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues. - Pardeep Kumar 001; Yun Lin 001; Guangdong Bai; Andrew Paverd; Jin Song Dong 001; Andrew P. Martin (IEEE Commun. Surv. Tutorials, 2019)

Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams. - Pengcheng Xia; Haoyu Wang 001; Xiapu Luo; Lei Wu 012; Yajin Zhou; Guangdong Bai; Guoai Xu; Gang Huang 001; Xuanzhe Liu (eCrime, 2020)

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. - Yanjun Zhang; Guangdong Bai; Xue Li 001; Caitlin Curtis; Chen Chen 056; Ryan K. L. Ko (ESORICS (1), 2020)

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts. - Ru Ji; Ningyu He; Lei Wu 012; Haoyu Wang 001; Guangdong Bai; Yao Guo 001 (ICECCS, 2020)

Foggy: A New Anonymous Communication Architecture Based on Microservices. - Hanlin Wei; Guangdong Bai; Zongwei Luo (ICECCS, 2020)

An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. - Taejun Choi; Guangdong Bai; Ryan K. L. Ko; Naipeng Dong; Wenlu Zhang; Shunyao Wang (TrustCom, 2020)

Autonomous Permission Recommendation. - Hongcan Gao; Chenkai Guo; Dengrong Huang; Xiaolei Hou; Yanfeng Wu; Jing Xu 008; Zhen He; Guangdong Bai (IEEE Access, 2020)

When the Open Source Community Meets COVID-19: Characterizing COVID-19 themed GitHub Repositories. - Liu Wang 002; Ruiqing Li; Jiaxin Zhu; Guangdong Bai; Haoyu Wang 001 (CoRR, 2020)

Dilated residual networks with multi-level attention for speaker verification. - Yanfeng Wu; Chenkai Guo; Hongcan Gao; Jing Xu 008; Guangdong Bai (Neurocomputing, 2020)

Early prediction for mode anomaly in generative adversarial network training: An empirical study. - Chenkai Guo; Dengrong Huang; Jianwen Zhang; Jing Xu 008; Guangdong Bai; Naipeng Dong (Inf. Sci., 2020)

A blockchain-based decentralized booking system. - Naipeng Dong; Guangdong Bai; Lung-Chen Huang; Edmund Kok Heng Lim; Jin Song Dong (Knowl. Eng. Rev., 2020)

UQ-AAS21: A Comprehensive Dataset of Amazon Alexa Skills. - Fuman Xie; Yanjun Zhang; Hanlin Wei; Guangdong Bai (ADMA, 2021)

A Large-Scale Empirical Study of COVID-19 Themed GitHub Repositories. - Liu Wang 002; Ruiqing Li; Jiaxin Zhu; Guangdong Bai; Haoyu Wang 001 (COMPSAC, 2021)

Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis. - Yanjun Zhang; Guangdong Bai; Xue Li 001; Caitlin Curtis; Chen Chen 056; Ryan K. L. Ko (ESORICS (2), 2021)

Identifying privacy weaknesses from multi-party trigger-action integration platforms. - Kulani Mahadewa; Yanjun Zhang; Guangdong Bai; Lei Bu; Zhiqiang Zuo 002; Dileepa Fernando; Zhenkai Liang; Jin Song Dong 001 (ISSTA, 2021)

MoScan: a model-based vulnerability scanner for web single sign-on services. - Hanlin Wei; Behnaz Hassanshahi; Guangdong Bai; Padmanabhan Krishnan; Kostyantyn Vorobyov (ISSTA, 2021)

DeepAuto: A First Step Towards Formal Verification of Deep Learning Systems (S). - Yuteng Lu; Weidi Sun; Guangdong Bai; Meng Sun 002 (SEKE, 2021)

Understanding the Impact of COVID-19 on Github Developers: A Preliminary Study. - Liu Wang 002; Ruiqing Li; Jiaxin Zhu; Guangdong Bai; Weihang Su; Haoyu Wang 001 (SEKE, 2021)

It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. - Kailong Wang 001; Junzhe Zhang; Guangdong Bai; Ryan K. L. Ko; Jin Song Dong 001 (WWW, 2021)

ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence. - Haoxi Tan; Mahin Chandramohan; Cristina Cifuentes; Guangdong Bai; Ryan K. L. Ko (CoRR, 2021)

Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning. - Yanjun Zhang; Guangdong Bai; Xue Li 001; Surya Nepal; Ryan K. L. Ko (CoRR, 2021)

Differentially Private Collaborative Coupling Learning for Recommender Systems. - Yanjun Zhang; Guangdong Bai; Mingyang Zhong; Xue Li 001; Ryan K. L. Ko (IEEE Intell. Syst., 2021)

Characterizing Cryptocurrency-themed Malicious Browser Extensions. - Kailong Wang 001; Yuxi Ling; Yanjun Zhang; Zhou Yu 002; Haoyu Wang 001; Guangdong Bai; Beng Chin Ooi; Jin Song Dong 001 (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Scrutinizing Implementations of Smart Home Integrations. - Kulani Mahadewa; Kailong Wang 001; Guangdong Bai; Ling Shi 002; Yan Liu 012; Jin Song Dong 001; Zhenkai Liang (IEEE Trans. Software Eng., 2021)

Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification. - Liyue Shen; Yanjun Zhang; Jingwei Wang 003; Guangdong Bai (ACSAC, 2022)

SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation. - Liuhuo Wan; Yanjun Zhang; Ruiqing Li; Ryan K. L. Ko; Louw Hoffman; Guangdong Bai (ADMA (1), 2022)

VITAS : Guided Model-based VUI Testing of VPA Apps. - Suwan Li; Lei Bu; Guangdong Bai; Zhixiu Guo; Kai Chen 012; Hanlin Wei (ASE, 2022)

Are they Toeing the Line? Diagnosing Privacy Compliance Violations among Browser Extensions. - Yuxi Ling; Kailong Wang 001; Guangdong Bai; Haoyu Wang 001; Jin Song Dong 001 (ASE, 2022)

Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. - Fuman Xie; Yanjun Zhang; Chuan Yan; Suwan Li; Lei Bu; Kai Chen 012; Zi Huang; Guangdong Bai (ASE, 2022)

Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach. - Peng-Fei Zhang; Guangdong Bai; Zi Huang; Xin-Shun Xu (ACM Multimedia, 2022)

IDEAL: High-Order-Ensemble Adaptation Network for Learning with Noisy Labels. - Peng-Fei Zhang; Zi Huang; Guangdong Bai; Xin-Shun Xu (ACM Multimedia, 2022)

Assessing certificate validation user interfaces of WPA supplicants. - Kailong Wang 001; Yuwei Zheng; Qing Zhang; Guangdong Bai; Mingchuang Qin; Donghui Zhang; Jin Song Dong (MobiCom, 2022)

Towards Better Generalization for Neural Network-Based SAT Solvers. - Chenhao Zhang 004; Yanjun Zhang; Jeff Mao; Weitong Chen 001; Lin Yue; Guangdong Bai; Miao Xu 001 (PAKDD (2), 2022)

Paoding: Supervised Robustness-preserving Data-free Neural Network Pruning. - Mark Huasong Meng; Guangdong Bai; Sin Gee Teo; Jin Song Dong (CoRR, 2022)

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective. - Mark Huasong Meng; Guangdong Bai; Sin Gee Teo; Zhe Hou; Yan Xiao 002; Yun Lin 001; Jin Song Dong 001 (CoRR, 2022)

Sharing runtime permission issues for developers based on similar-app review mining. - Hongcan Gao; Chenkai Guo; Guangdong Bai; Dengrong Huang; Zhen He; Yanfeng Wu; Jing Xu 008 (J. Syst. Softw., 2022)

Preserving the Privacy and Cybersecurity of Home Energy Data. - Richard Bean 001; Yanjun Zhang; Ryan K. L. Ko; Xinyu Mao; Guangdong Bai (Emerging Trends in Cybersecurity Applications, 2023)

Preserving the Privacy and Cybersecurity of Home Energy Data. - Richard Bean 001; Yanjun Zhang; Ryan K. L. Ko; Xinyu Mao; Guangdong Bai (Emerging Trends in Cybersecurity Applications, 2023)

Investigating Users' Understanding of Privacy Policies of Virtual Personal Assistant Applications. - Baiqi Chen; Tingmin Wu; Yanjun Zhang; Mohan Baruwal Chhetri; Guangdong Bai (AsiaCCS, 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)

SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples. - Subrat Kumar Swain; Vireshwar Kumar; Dan Dongseong Kim; Guangdong Bai (ECAI, 2023)

Supervised Robustness-preserving Data-free Neural Network Pruning. - Mark Huasong Meng; Guangdong Bai; Sin G. Teo; Jin Song Dong 001 (ICECCS, 2023)

Quantitative Explainable AI For Face Recognition. - Shu Peng; Naipeng Dong; Guangdong Bai (ICECCS, 2023)

A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization. - Hao Guan; Ying Xiao; Jiaying Li 001; Yepang Liu 001; Guangdong Bai (ICSE, 2023)

Security Checking of Trigger-Action-Programming Smart Home Integrations. - Lei Bu; Qiuping Zhang; Suwan Li; Jinglin Dai; Guangdong Bai; Kai Chen 012; Xuandong Li (ISSTA, 2023)

Wemint:Tainting Sensitive Data Leaks in WeChat Mini-Programs. - Shi Meng; Liu Wang 002; Shenao Wang 001; Kailong Wang 001; Xusheng Xiao; Guangdong Bai; Haoyu Wang 001 (ASE, 2023)

Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers. - Mark Huasong Meng; Qing Zhang; Guangshuai Xia; Yuwei Zheng; Yanjun Zhang; Guangdong Bai; Zhi Liu; Sin G. Teo; Jin Song Dong (NDSS, 2023)

Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning. - Mark Huasong Meng; Sin G. Teo; Guangdong Bai; Kailong Wang 001; Jin Song Dong (PAKDD (2), 2023)

Towards an Effective and Interpretable Refinement Approach for DNN Verification. - Jiaying Li 001; Guangdong Bai; Long H. Pham; Jun Sun 001 (QRS, 2023)

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. - Yanjun Zhang; Guangdong Bai; Mahawaga Arachchige Pathum Chamikara; Mengyao Ma; Liyue Shen; Jingwei Wang 003; Surya Nepal; Minhui Xue 001; Long Wang; Joseph K. Liu (WWW, 2023)

Symbolic Security Verification of Mesh Commissioning Protocol in Thread (extended version). - Pankaj Upadhyay; Subodh Sharma 001; Guangdong Bai (CoRR, 2023)

Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks. - Yanjun Zhang; Guangdong Bai; Xue Li 001; Surya Nepal; Marthie Grobler; Chen Chen 056; Ryan K. L. Ko (IEEE Trans. Dependable Secur. Comput., 2023)

Proactive Privacy-preserving Learning for Cross-modal Retrieval. - Peng-Fei Zhang; Guangdong Bai; Hongzhi Yin; Zi Huang (ACM Trans. Inf. Syst., 2023)

GenDroid: A query-efficient black-box android adversarial attack framework. - Guangquan Xu; Hongfei Shao; Jingyi Cui; Hongpeng Bai; Jiliang Li; Guangdong Bai; Shaoying Liu; Weizhi Meng 001; Xi Zheng 001 (Comput. Secur., 2023)

LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis. - Bo Li 026; Wenyuan Xu 001; Jieshan Chen; Yang Zhang 016; Minhui Xue 001; Shuo Wang 012; Guangdong Bai; Xingliang Yuan (CCS, 2024)

Uncovering Gradient Inversion Risks in Practical Language Model Training. - Xinguo Feng; Zhongkui Ma; Zihan Wang; Eu Joe Chegne; Mengyao Ma; Alsharif Abuadbba; Guangdong Bai (CCS, 2024)

Unveiling Intellectual Property Vulnerabilities of GAN-Based Distributed Machine Learning through Model Extraction Attacks. - Mengyao Ma; Shuofeng Liu; M. A. P. Chamikara; Mohan Baruwal Chhetri; Guangdong Bai (CIKM, 2024)

AuSSE: A Novel Framework for Security and Safety Evaluation for Autonomous Vehicles. - Nhung H. Nguyen; Jin-Hee Cho; Terrence J. Moore; Seunghyun Yoon 001; Hyuk Lim; Frederica Nelson; Guangdong Bai; Dan Dongseong Kim (DSN-S, 2024)

PANDA: Practical Adversarial Attack Against Network Intrusion Detection. - Subrat Kumar Swain; Vireshwar Kumar; Guangdong Bai; Dan Dongseong Kim (DSN-S, 2024)

Are Your Requests Your True Needs? Checking Excessive Data Collection in VPA App. - Fuman Xie; Chuan Yan; Mark Huasong Meng; Shao-Ming Teng; Yanjun Zhang; Guangdong Bai (ICSE, 2024)

Symbolic Verification of Mesh Commissioning Protocol of Thread. - Pankaj Upadhyay; Subodh Sharma 001; Guangdong Bai (ISEC, 2024)

Beyond the Horizon: Exploring Cross-Market Security Discrepancies in Parallel Android Apps. - Shishuai Yang; Guangdong Bai; Ruoyan Lin; Jialong Guo; Wenrui Diao (ISSRE, 2024)

Large Language Models Can Connect the Dots: Exploring Model Optimization Bugs with Domain Knowledge-Aware Prompts. - Hao Guan; Guangdong Bai; Yepang Liu 001 (ISSTA, 2024)

Exploring ChatGPT App Ecosystem: Distribution, Deployment and Security. - Chuan Yan; Ruomai Ren; Mark Huasong Meng; Liuhuo Wan; Tian Yang Ooi; Guangdong Bai (ASE, 2024)

Universal Adversarial Perturbations for Vision-Language Pre-trained Models. - Peng-Fei Zhang; Zi Huang; Guangdong Bai (SIGIR, 2024)

CORELOCKER: Neuron-level Usage Control. - Zihan Wang; Zhongkui Ma; Xinguo Feng; Ruoxi Sun 001; Hu Wang 005; Minhui Xue 001; Guangdong Bai (SP, 2024)

Being Transparent is Merely the Beginning: Enforcing Purpose Limitation with Polynomial Approximation. - Shuofeng Liu; Zihan Wang; Minhui Xue 001; Long Wang; Yuanchao Zhang; Guangdong Bai (USENIX Security Symposium, 2024)

Essential or Excessive? MINDAEXT: Measuring Data Minimization Practices among Browser Extensions. - Yuxi Ling; Yun Hao; Yuyan Wang; Kailong Wang 001; Guangdong Bai; Jin Song Dong (SANER, 2024)

Don't Bite Off More than You Can Chew: Investigating Excessive Permission Requests in Trigger-Action Integrations. - Liuhuo Wan; Kailong Wang 001; Kulani Mahadewa; Haoyu Wang 001; Guangdong Bai (WWW, 2024)

Is It Safe to Share Your Files? An Empirical Security Analysis of Google Workspace. - Liuhuo Wan; Kailong Wang 001; Haoyu Wang 001; Guangdong Bai (WWW, 2024)

Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. - Yanjun Zhang; Ruoxi Sun 001; Liyue Shen; Guangdong Bai; Minhui Xue 001; Mark Huasong Meng; Xue Li 001; Ryan K. L. Ko; Surya Nepal (WWW, 2024)

Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A Survey. - Shunyao Wang; Ryan K. L. Ko; Guangdong Bai; Naipeng Dong; Taejun Choi; Yanjun Zhang (IEEE Commun. Surv. Tutorials, 2024)

MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack. - Jiayi Hua; Kailong Wang 001; Meizhen Wang; Guangdong Bai; Xiapu Luo; Haoyu Wang 001 (CoRR, 2024)

The Devil Behind the Mirror: Tracking the Campaigns of Cryptocurrency Abuses on the Dark Web. - Pengcheng Xia; Zhou Yu 002; Kailong Wang 001; Kai Ma; Shuo Chen 001; Xiapu Luo; Yajin Zhou; Lei Wu 012; Guangdong Bai; Haoyu Wang 001 (CoRR, 2024)

PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks. - Mark Huasong Meng; Hao Guan; Liuhuo Wan; Sin Gee Teo; Guangdong Bai; Jin Song Dong (CoRR, 2024)

Model-Enhanced LLM-Driven VUI Testing of VPA Apps. - Suwan Li; Lei Bu; Guangdong Bai; Fuman Xie; Kai Chen 012; Chang Yue (CoRR, 2024)

A Large-Scale Privacy Assessment of Android Third-Party SDKs. - Mark Huasong Meng; Chuan Yan; Yun Hao; Qing Zhang; Zeyu Wang; Kailong Wang 001; Sin Gee Teo; Guangdong Bai; Jin Song Dong (CoRR, 2024)

Detecting Multi-Parameter Constraint Inconsistencies in Python Data Science Libraries. - Xiufeng Xu; Fuman Xie; Chenguang Zhu 002; Guangdong Bai; Sarfraz Khurshid; Yi Li 008 (CoRR, 2024)

Investigating Documented Privacy Changes in Android OS. - Chuan Yan; Mark Huasong Meng; Fuman Xie; Guangdong Bai (Proc. ACM Softw. Eng., 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)

Effective and Robust Adversarial Training Against Data and Label Corruptions. - Peng-Fei Zhang; Zi Huang; Xin-Shun Xu; Guangdong Bai (IEEE Trans. Multim., 2024)

IoTSecSim: A framework for modelling and simulation of security in Internet of things. - Kok Onn Chee; Mengmeng Ge 001; Guangdong Bai; Dan Dongseong Kim (Comput. Secur., 2024)

ReLU Hull Approximation. - Zhongkui Ma; Jiaying Li 001; Guangdong Bai (Proc. ACM Program. Lang., 2024)

On the Quality of Privacy Policy Documents of Virtual Personal Assistant Applications. - Chuan Yan; Fuman Xie; Mark Huasong Meng; Yanjun Zhang; Guangdong Bai (Proc. Priv. Enhancing Technol., 2024)

Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors. - Baijun Cheng; Shengming Zhao; Kailong Wang 001; Meizhen Wang; Guangdong Bai; Ruitao Feng; Yao Guo 001; Lei Ma 003; Haoyu Wang 001 (ACM Trans. Softw. Eng. Methodol., 2024)

DeeBBAA: A Benchmark Deep Black-Box Adversarial Attack Against Cyber-Physical Power Systems. - Arnab Bhattacharjee; Guangdong Bai; Wayes Tushar; Ashu Verma; Sukumar Mishra; Tapan Kumar Saha (IEEE Internet Things J., 2024)

SwiftGuard: Enhanced Privacy and Efficiency in Blockchain-Based Fine-Grained Access Control for Cross-Domain Healthcare Collaboration. - Mengke Zhang; Xiaohong Li 001; Jie Zhang 111; Zhe Hou; Guangdong Bai; Ruitao Feng (CSCWD, 2025)

Intelligent Data Refinement and Analysis of Real-World Cyber Attacks on SCADA Systems. - Wenlu Zhang; Naipeng Dong; Taejun Choi; Guangdong Bai; Ryan K. L. Ko (e-Energy, 2025)

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation. - Danny Wang; Ruihong Qiu; Guangdong Bai; Zi Huang (ICLR, 2025)

TrojanTime: Backdoor Attacks on Time Series Classification. - Chang Dong; Zechao Sun; Guangdong Bai; Shuying Piao; Weitong Chen 001; Wei Emma Zhang (PAKDD (4), 2025)

Tracking GPTs Third Party Service: Automation, Analysis, and Insights. - Chuan Yan; Liuhuo Wan; Bowei Guan; Fengqi Yu; Guangdong Bai (SIGSOFT FSE Companion, 2025)

Modifier Unlocked: Jailbreaking Text-to-Image Models Through Prompts. - Shuofeng Liu; Mengyao Ma; Minhui Xue 001; Guangdong Bai (SP, 2025)

Practical Poisoning Attacks with Limited Byzantine Clients in Clustered Federated Learning. - Viet Vo; Mengyao Ma; Guangdong Bai; Ryan K. L. Ko; Surya Nepal (SP, 2025)

Semantics-Aware Cookie Purpose Compliance. - Baiqi Chen; Jiawei Lyu; Tingmin Wu; Mohan Baruwal Chhetri; Guangdong Bai (WWW, 2025)

AI Model Modulation with Logits Redistribution. - Zihan Wang; Zhongkui Ma; Xinguo Feng; Zhiyang Mei; Ethan Ma; Derui Wang; Minhui Xue 001; Guangdong Bai (WWW, 2025)

Understanding and Detecting File Knowledge Leakage in GPT App Ecosystem. - Chuan Yan; Bowei Guan; Yazhi Li; Mark Huasong Meng; Liuhuo Wan; Guangdong Bai (WWW, 2025)

Unveiling the evolution of IoT threats: Trends, tactics, and simulation analysis. - Kok Onn Chee; Mengmeng Ge 001; Guangdong Bai; Dan Dongseong Kim (Comput. Secur., 2025)

Graphical security modelling for Autonomous Vehicles: A novel approach to threat analysis and defence evaluation. - Nhung H. Nguyen; Mengmeng Ge 001; Jin-Hee Cho; Terrence J. Moore; Seunghyun Yoon 001; Hyuk Lim; Frederica Nelson; Guangdong Bai; Dan Dongseong Kim (Comput. Secur., 2025)

CrossProbe: LLM-Empowered Cross-Project Bug Detection for Deep Learning Frameworks. - Hao Guan; Guangdong Bai; Yepang Liu 001 (Proc. ACM Softw. Eng., 2025)

Identifying Multi-parameter Constraint Errors in Python Data Science Library API Documentation. - Xiufeng Xu; Fuman Xie; Chenguang Zhu 002; Guangdong Bai; Sarfraz Khurshid; Yi Li 008 (Proc. ACM Softw. Eng., 2025)

MAA: Meticulous Adversarial Attack against Vision-Language Pre-trained Models. - Peng-Fei Zhang; Guangdong Bai; Zi Huang (CoRR, 2025)

Detecting Manipulated Contents Using Knowledge-Grounded Inference. - Mark Huasong Meng; Ruizhe Wang; Meng Xu; Chuan Yan; Guangdong Bai (CoRR, 2025)

Tracking GPTs Third Party Service: Automation, Analysis, and Insights. - Chuan Yan; Liuhuo Wan; Bowei Guan; Fengqi Yu; Guangdong Bai; Jin Song Dong (CoRR, 2025)

Beyond the Scope: Security Testing of Permission Management in Team Workspace. - Liuhuo Wan; Chuan Yan; Mark Huasong Meng; Kailong Wang 001; Haoyu Wang 001; Guangdong Bai; Jin Song Dong (CoRR, 2025)

DVFS: A Dynamic Verifiable Fuzzy Search Service for Encrypted Cloud Data. - Jie Zhang 111; Xiaohong Li 001; Man Zheng; Zhe Hou; Guangdong Bai; Ruitao Feng (CoRR, 2025)

MedExChain: Enabling Secure and Efficient PHR Sharing Across Heterogeneous Blockchains. - Yongyang Lv; Xiaohong Li 001; Kui Chen; Zhe Hou; Guangdong Bai; Ruitao Feng (IEEE Internet Things J., 2025)