InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy. - Lingchen Zhao; Lihao Ni; Shengshan Hu; Yanjiao Chen; Pan Zhou 001; Fu Xiao 001; Libing Wu (INFOCOM, 2018)

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. - Lingchen Zhao; Qian Wang 002; Cong Wang 001; Qi Li 002; Chao Shen 001; Xiaodong Lin 001; Shengshan Hu; Minxin Du (CoRR, 2019)

Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection. - Lingchen Zhao; Shengshan Hu; Qian Wang 002; Jianlin Jiang; Chao Shen 001; Xiangyang Luo (CoRR, 2019)

Deep Domain Adaptation With Differential Privacy. - Qian Wang 002; Zixi Li; Qin Zou 001; Lingchen Zhao; Song Wang 002 (IEEE Trans. Inf. Forensics Secur., 2020)

Privacy-Preserving Collaborative Deep Learning With Unreliable Participants. - Lingchen Zhao; Qian Wang 002; Qin Zou 001; Yan Zhang 002; Yanjiao Chen (IEEE Trans. Inf. Forensics Secur., 2020)

Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection. - Lingchen Zhao; Shengshan Hu; Qian Wang 002; Jianlin Jiang; Chao Shen 001; Xiangyang Luo; Pengfei Hu 001 (IEEE Trans. Dependable Secur. Comput., 2021)

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. - Lingchen Zhao; Qian Wang 002; Cong Wang 001; Qi Li 002; Chao Shen 001; Bo Feng 002 (IEEE Trans. Parallel Distributed Syst., 2021)

Practical differentially private online advertising. - Jie Sun; Lingchen Zhao; Zhuotao Liu; Qi Li 002; Xinhao Deng; Qian Wang 002; Yong Jiang 001 (Comput. Secur., 2022)

SEAR: Secure and Efficient Aggregation for Byzantine-Robust Federated Learning. - Lingchen Zhao; Jianlin Jiang; Bo Feng 002; Qian Wang 002; Chao Shen 001; Qi Li 002 (IEEE Trans. Dependable Secur. Comput., 2022)

Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition. - Jiacheng Deng 001; Li Dong 006; Jiahao Chen; Diqun Yan; Rangding Wang; Dengpan Ye; Lingchen Zhao; Jinyu Tian 001 (ACM Multimedia, 2023)

Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness. - Xinli Yue; Ningping Mou; Qian Wang 002; Lingchen Zhao (NeurIPS, 2023)

Shielding Graph for eXact Analytics With SGX. - Minxin Du; Peipei Jiang 002; Qian Wang 002; Sherman S. M. Chow; Lingchen Zhao (IEEE Trans. Dependable Secur. Comput., 2023)

AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems. - Yunjie Ge; Lingchen Zhao; Qian Wang 002; Yiheng Duan; Minxin Du (IEEE Trans. Inf. Forensics Secur., 2023)

Differential privacy in deep learning: Privacy and beyond. - Yanling Wang; Qian Wang 002; Lingchen Zhao; Cong Wang 001 (Future Gener. Comput. Syst., 2023)

Zero-Query Adversarial Attack on Black-box Automatic Speech Recognition Systems. - Zheng Fang; Tao Wang 081; Lingchen Zhao; Shenyi Zhang; Bowen Li 016; Yunjie Ge; Qi Li 002; Chao Shen 001; Qian Wang 002 (CCS, 2024)

Revisiting Adversarial Training Under Long-Tailed Distributions. - Xinli Yue; Ningping Mou; Qian Wang 002; Lingchen Zhao (CVPR, 2024)

Reputation Defender: Local Black-Box Adversarial Attack against Image-Translation-Based DeepFake. - Wang Yang; Lingchen Zhao; Dengpan Ye (ICME, 2024)

Hijacking Attacks against Neural Network by Analyzing Training Data. - Yunjie Ge; Qian Wang 002; Huayang Huang; Qi Li 002; Cong Wang 001; Chao Shen 001; Lingchen Zhao; Peipei Jiang 002; Zheng Fang; Shenyi Zhang (USENIX Security Symposium, 2024)

More Simplicity for Trainers, More Opportunity for Attackers: Black-Box Attacks on Speaker Recognition Systems by Inferring Feature Extractor. - Yunjie Ge; Pinji Chen; Qian Wang 002; Lingchen Zhao; Ningping Mou; Peipei Jiang 002; Cong Wang 001; Qi Li 002; Chao Shen 001 (USENIX Security Symposium, 2024)

Hijacking Attacks against Neural Networks by Analyzing Training Data. - Yunjie Ge; Qian Wang 002; Huayang Huang; Qi Li 002; Cong Wang 001; Chao Shen 001; Lingchen Zhao; Peipei Jiang 002; Zheng Fang; Shenyi Zhang (CoRR, 2024)

Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling. - Chunlin Qiu; Yiheng Duan; Lingchen Zhao; Qian Wang 002 (CoRR, 2024)

Revisiting Video Quality Assessment from the Perspective of Generalization. - Xinli Yue; Jianhui Sun; Liangchao Yao; Fan Xia; Yuetang Deng; Tianyi Wang; Lei Li; Fengyun Rao; Jing Lv; Qian Wang 002; Lingchen Zhao (CoRR, 2024)

Advancing Video Quality Assessment for AIGC. - Xinli Yue; Jianhui Sun; Han Kong; Liangchao Yao; Tianyi Wang; Lei Li; Fengyun Rao; Jing Lv; Fan Xia; Yuetang Deng; Qian Wang 002; Lingchen Zhao (CoRR, 2024)

FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency. - Xiaoxue Hu; Geling Liu; Baolin Zheng; Lingchen Zhao; Qian Wang 002; Yufei Zhang; Minxin Du (IEEE Trans. Inf. Forensics Secur., 2024)

No-Box Universal Adversarial Perturbations Against Image Classifiers via Artificial Textures. - Ningping Mou; Binqing Guo; Lingchen Zhao; Cong Wang 001; Yue Zhao; Qian Wang 002 (IEEE Trans. Inf. Forensics Secur., 2024)

Perception-Driven Imperceptible Adversarial Attack Against Decision-Based Black-Box Models. - Shenyi Zhang; Baolin Zheng; Peipei Jiang 002; Lingchen Zhao; Chao Shen 001; Qian Wang 002 (IEEE Trans. Inf. Forensics Secur., 2024)

Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL. - Geling Liu; Yunzhi Tan; Ruichao Zhong; Yuanzhen Xie; Lingchen Zhao; Qian Wang 002; Bo Hu; Zang Li (COLING, 2025)

Ring of Gyges: Accountable Anonymous Broadcast via Secret-Shared Shuffle. - Wentao Dong; Peipei Jiang 002; Huayi Duan; Cong Wang 001; Lingchen Zhao; Qian Wang 002 (NDSS, 2025)

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation. - Shenyi Zhang; Yuchen Zhai; Keyan Guo; Hongxin Hu; Shengnan Guo; Zheng Fang; Lingchen Zhao; Chao Shen 001; Cong Wang 001; Qian Wang 002 (CoRR, 2025)

Fairness is essential for robustness: fair adversarial training by identifying and augmenting hard examples. - Ningping Mou; Xinli Yue; Lingchen Zhao; Qian Wang 002 (Frontiers Comput. Sci., 2025)

Selective Masking Adversarial Attack on Automatic Speech Recognition Systems. - Zheng Fang; Shenyi Zhang; Tao Wang 081; Bowen Li 016; Lingchen Zhao; Zhangyi Wang (CoRR, 2025)