Data Independent Identification for Privacy Preservation. - Tianhang Zheng; Zhi Sun; Kui Ren 001 (PAC, 2017)

Learning Saliency Maps for Adversarial Point-Cloud Generation. - Tianhang Zheng; Changyou Chen; Junsong Yuan 001; Kui Ren 001 (CoRR, 2018)

Distributionally Adversarial Attack. - Tianhang Zheng; Changyou Chen; Kui Ren 001 (AAAI, 2019)

PointCloud Saliency Maps. - Tianhang Zheng; Changyou Chen; Junsong Yuan 001; Bo Li 126; Kui Ren 001 (ICCV, 2019)

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. - Qi Wei; Kai Fan 002; Wenlin Wang; Tianhang Zheng; Amit Chakraborty; Katherine A. Heller; Changyou Chen; Kui Ren 001 (ICME, 2019)

Data Poisoning Attack against Knowledge Graph Embedding. - Hengtong Zhang; Tianhang Zheng; Jing Gao 004; Chenglin Miao; Lu Su 001; Yaliang Li; Kui Ren 001 (IJCAI, 2019)

FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification. - Tianhang Zheng; Zhi Sun; Kui Ren 001 (INFOCOM, 2019)

Towards Data Poisoning Attack against Knowledge Graph Embedding. - Hengtong Zhang; Tianhang Zheng; Jing Gao 004; Chenglin Miao; Lu Su 001; Yaliang Li; Kui Ren 001 (CoRR, 2019)

Accelerometer-based smartphone eavesdropping. - Zhongjie Ba; Tianhang Zheng; Zhan Qin; Hanlin Yu; Liu Liu; Baochun Li; Xue Liu 001; Kui Ren 001 (MobiCom, 2020)

Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer. - Zhongjie Ba; Tianhang Zheng; Xinyu Zhang 016; Zhan Qin; Baochun Li; Xue Liu 001; Kui Ren 001 (NDSS, 2020)

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition. - Tianhang Zheng; Sheng Liu; Changyou Chen; Junsong Yuan 001; Baochun Li; Kui Ren 001 (CoRR, 2020)

Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. - Tianhang Zheng; Di Wang 015; Baochun Li; Jinhui Xu 001 (CoRR, 2020)

Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving? - Yi Zhu 012; Chenglin Miao; Tianhang Zheng; Foad Hajiaghajani; Lu Su 001; Chunming Qiao (CCS, 2021)

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. - Hengtong Zhang; Tianhang Zheng; Yaliang Li; Jing Gao 004; Lu Su 001; Bo Li 126 (EMNLP (1), 2021)

First-Order Efficient General-Purpose Clean-Label Data Poisoning. - Tianhang Zheng; Baochun Li (INFOCOM, 2021)

InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity. - Tianhang Zheng; Baochun Li (AsiaCCS, 2022)

Poisoning Attacks on Deep Learning based Wireless Traffic Prediction. - Tianhang Zheng; Baochun Li (INFOCOM, 2022)

Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection. - Mengnan Zhao; Bo Wang 024; Wei Wang 025; Yuqiu Kong; Tianhang Zheng; Kui Ren 001 (IEEE Trans. Inf. Forensics Secur., 2022)

On the Robustness of Metric Learning: An Adversarial Perspective. - Mengdi Huai; Tianhang Zheng; Chenglin Miao; Liuyi Yao; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2022)

Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights. - Tianhang Zheng; Hao Lan; Baochun Li (MLSys, 2023)

RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching. - Tianhang Zheng; Baochun Li (UAI, 2023)

Separable Multi-Concept Erasure from Diffusion Models. - Mengnan Zhao; Lihe Zhang; Tianhang Zheng; Yuqiu Kong; Baocai Yin (CoRR, 2024)

FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning. - Tianhang Zheng; Baochun Li (CoRR, 2024)

Text Guided Image Editing with Automatic Concept Locating and Forgetting. - Jia Li 053; Lijie Hu; Zhixian He; Jingfeng Zhang; Tianhang Zheng; Di Wang 015 (CoRR, 2024)

Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning. - Binhao Ma; Tianhang Zheng; Hongsheng Hu; Di Wang 015; Shuo Wang; Zhongjie Ba; Zhan Qin; Kui Ren 001 (CoRR, 2024)

Poisoning with A Pill: Circumventing Detection in Federated Learning. - Hanxi Guo; Hao Wang 022; Tao Song 003; Tianhang Zheng; Yang Hua 001; Haibing Guan; Xiangyu Zhang 001 (CoRR, 2024)

Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services. - Shaopeng Fu; Xuexue Sun; Ke Qing; Tianhang Zheng; Di Wang 015 (CoRR, 2024)

CMI: Client-Targeted Membership Inference in Federated Learning. - Tianhang Zheng; Baochun Li (IEEE Trans. Dependable Secur. Comput., 2024)

FLTracer: Accurate Poisoning Attack Provenance in Federated Learning. - Xinyu Zhang 016; Qingyu Liu; Zhongjie Ba; Yuan Hong 001; Tianhang Zheng; Feng Lin 004; Li Lu 008; Kui Ren 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Fair Text-to-Image Diffusion via Fair Mapping. - Jia Li 053; Lijie Hu; Jingfeng Zhang; Tianhang Zheng; Hua Zhang; Di Wang 015 (AAAI, 2025)

Nearly Optimal Differentially Private ReLU Regression. - Meng Ding; Mingxi Lei; Shaowei Wang 003; Tianhang Zheng; Di Wang 015; Jinhui Xu 001 (UAI, 2025)

Faithful Interpretation for Graph Neural Networks. - Lijie Hu; Tianhao Huang; Lu Yu; Wanyu Lin; Tianhang Zheng; Di Wang 015 (Trans. Mach. Learn. Res., 2025)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors. - Mengnan Zhao; Lihe Zhang; Xingyi Yang; Tianhang Zheng; Baocai Yin (CoRR, 2025)

DualBreach: Efficient Dual-Jailbreaking via Target-Driven Initialization and Multi-Target Optimization. - Xinzhe Huang; Kedong Xiu; Tianhang Zheng; Churui Zeng; Wangze Ni; Zhan Qiin; Kui Ren 001; Chun Chen 001 (CoRR, 2025)

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons. - Wenshuo Dong; Qingsong Yang; Shu Yang 010; Lijie Hu; Meng Ding; Wanyu Lin; Tianhang Zheng; Di Wang 015 (CoRR, 2025)

MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies. - Weiwei Qi; Shuo Shao 002; Wei Gu; Tianhang Zheng; Puning Zhao; Zhan Qin; Kui Ren 001 (CoRR, 2025)