Invisible Backdoor Attacks Against Deep Neural Networks. - Shaofeng Li 001; Benjamin Zi Hao Zhao; Jiahao Yu 001; Minhui Xue 001; Dali Kaafar; Haojin Zhu (CoRR, 2019)

Deep Learning Backdoors. - Shaofeng Li 001; Shiqing Ma; Minhui Xue 001; Benjamin Zi Hao Zhao (CoRR, 2020)

Hidden Backdoors in Human-Centric Language Models. - Shaofeng Li 001; Hui Liu; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue 001; Haojin Zhu; Jialiang Lu (CCS, 2021)

BatFL: Backdoor Detection on Federated Learning in e-Health. - Binhan Xi; Shaofeng Li 001; Jiachun Li 001; Hui Liu; Hong Liu; Haojin Zhu (IWQoS, 2021)

Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks. - Wei Wang 334; Ruoxi Sun 001; Tian Dong; Shaofeng Li 001; Minhui Xue 001; Gareth Tyson; Haojin Zhu (CoRR, 2021)

Automatic Permission Optimization Framework for Privacy Enhancement of Mobile Applications. - Yiting Qu; Suguo Du; Shaofeng Li 001; Yan Meng 001; Le Zhang; Haojin Zhu (IEEE Internet Things J., 2021)

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization. - Shaofeng Li 001; Minhui Xue 001; Benjamin Zi Hao Zhao; Haojin Zhu; Xinpeng Zhang 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. - Zirui Peng; Shaofeng Li 001; Guoxing Chen; Cheng Zhang 014; Haojin Zhu; Minhui Xue 001 (CVPR, 2022)

Backdoors Against Natural Language Processing: A Review. - Shaofeng Li 001; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue 001; Suguo Du; Haojin Zhu (IEEE Secur. Priv., 2022)

Deep Learning Backdoors. - Shaofeng Li 001; Shiqing Ma; Minhui Xue 001; Benjamin Zi Hao Zhao (Security and Artificial Intelligence, 2022)

Privacy Computing with Right to Be Forgotten in Trusted Execution Environment. - Hui Liu; Hongzhi Luo; Shaofeng Li 001; Tian Dong; Guoxing Chen; Yan Meng 001; Haojin Zhu (GLOBECOM, 2023)

Data Poisoning Attack Against Anomaly Detectors in Digital Twin-Based Networks. - Shaofeng Li 001; Wen Wu 003; Yan Meng 001; Jiachun Li 001; Haojin Zhu; Xuemin Sherman Shen (ICC, 2023)

GB-IDS: An Intrusion Detection System for CAN Bus Based on Graph Analysis. - Yan Meng 001; Jiachun Li 001; Fazhong Liu; Shaofeng Li 001; Haotian Hu; Haojin Zhu (ICCC, 2023)

Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning. - Songge Zhang; Haoyu Tu; Zuguang Li; Shengbo Liu; Shaofeng Li 001; Wen Wu 003; Xuemin Sherman Shen (ICCC, 2023)

Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks. - Songge Zhang; Wen Wu 003; Penghui Hu; Shaofeng Li 001; Ning Zhang 007 (ICDCS, 2023)

RAI2: Responsible Identity Audit Governing the Artificial Intelligence. - Tian Dong; Shaofeng Li 001; Guoxing Chen; Minhui Xue 001; Haojin Zhu; Zhen Liu 008 (NDSS, 2023)

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (ESEC/SIGSOFT FSE, 2023)

Digital Twin-Assisted Adaptive Preloading for Short Video Streaming. - Shengbo Liu; Wen Wu 003; Shaofeng Li 001; Tom H. Luan; Xuemin Shen (CoRR, 2023)

Unleashing Cheapfakes through Trojan Plugins of Large Language Models. - Tian Dong; Guoxing Chen; Shaofeng Li 001; Minhui Xue 001; Rayne Holland; Yan Meng 001; Zhen Liu 008; Haojin Zhu (CoRR, 2023)

An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (Zenodo, 2023)

An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (Zenodo, 2023)

Secure and Efficient UAV Tracking in Space-Air-Ground Integrated Network. - Jiachun Li 001; Weijiong Zhang; Yan Meng 001; Shaofeng Li 001; Lichuan Ma; Zhen Liu 008; Haojin Zhu (IEEE Trans. Veh. Technol., 2023)

Digital Twin-Assisted Adaptive Preloading for Short Video Streaming. - Shengbo Liu; Wen Wu 003; Shaofeng Li 001; Tom H. Luan; Ning Zhang 007 (ICC, 2024)

Inferring Activities and Profiles of Users Based on Trajectory Leakage in Mobile Ad Network. - Zhiyong Liu; Le Yu; Tian Dong; Yan Meng 001; Shaofeng Li 001; Guoxing Chen; Haojin Zhu (MSN, 2024)

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security. - Yihe Fan; Yuxin Cao; Ziyu Zhao; Ziyao Liu; Shaofeng Li 001 (SMC, 2024)

Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection. - Shaofeng Li 001; Xinyu Wang 004; Minhui Xue 001; Haojin Zhu; Zhi Zhang 001; Yansong Gao 001; Wen Wu 003; Xuemin (Sherman) Shen (USENIX Security Symposium, 2024)

Seeing is not always believing: The Space of Harmless Perturbations. - Lu Chen; Shaofeng Li 001; Benhao Huang; Fan Yang; Zheng Li; Jie Li; Yuan Luo (CoRR, 2024)

Backdoor Attacks against Learning-Based Algorithms - Shaofeng Li 001; Haojin Zhu; Wen Wu 003; Xuemin (Sherman) Shen (Springer, 2024)

The Philosopher's Stone: Trojaning Plugins of Large Language Models. - Tian Dong; Minhui Xue 001; Guoxing Chen; Rayne Holland; Yan Meng 001; Shaofeng Li 001; Zhen Liu 008; Haojin Zhu (NDSS, 2025)

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory. - Yunmeng Shu; Shaofeng Li 001; Tian Dong; Yan Meng 001; Haojin Zhu (CoRR, 2025)

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning. - Kunlan Xiang; Haomiao Yang; Meng Hao 001; Haoxin Wang; Shaofeng Li 001; Zikang Ding; Tianwei Zhang 004 (CoRR, 2025)

Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs. - Lu Chen; Han Yang; Hu Wang; Yuxin Cao; Shaofeng Li 001; Yuan Luo (CoRR, 2025)

Depth Gives a False Sense of Privacy: LLM Internal States Inversion. - Tian Dong; Yan Meng 001; Shaofeng Li 001; Guoxing Chen; Zhen Liu 008; Haojin Zhu (CoRR, 2025)

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting. - Kunlan Xiang; Haomiao Yang; Meng Hao 001; Haoxin Wang; Shaofeng Li 001; Wenbo Jiang 001 (CoRR, 2025)