Tianhang Zheng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Inverse Problems

Data Protection

Diffusion Models

Top Venues

Publications

Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR (2024)
Tianhang Zheng, Baochun Li
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning. CoRR (2024)
Binhao Ma, Tianhang Zheng, Hongsheng Hu, Di Wang, Shuo Wang, Zhongjie Ba, Zhan Qin, Kui Ren
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning. CoRR (2024)
Jia Li, Lijie Hu, Zhixian He, Jingfeng Zhang, Tianhang Zheng, Di Wang
Text Guided Image Editing with Automatic Concept Locating and Forgetting. CoRR (2024)
Mengnan Zhao, Lihe Zhang, Tianhang Zheng, Yuqiu Kong, Baocai Yin
Separable Multi-Concept Erasure from Diffusion Models. CoRR (2024)
Tianhang Zheng, Baochun Li
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching. UAI (2023)
Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang
Fair Text-to-Image Diffusion via Fair Mapping. CoRR (2023)
Tianhang Zheng, Hao Lan, Baochun Li
Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights. MLSys (2023)
Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning. CoRR (2023)
Tianhang Zheng, Baochun Li
Poisoning Attacks on Deep Learning based Wireless Traffic Prediction. INFOCOM (2022)
Tianhang Zheng, Baochun Li
InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity. AsiaCCS (2022)
Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang
On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Mengnan Zhao, Bo Wang, Wei Wang, Yuqiu Kong, Tianhang Zheng, Kui Ren
Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Tianhang Zheng, Baochun Li
First-Order Efficient General-Purpose Clean-Label Data Poisoning. INFOCOM (2021)
Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. EMNLP (1) (2021)
Yi Zhu, Chenglin Miao, Tianhang Zheng, Foad Hajiaghajani, Lu Su, Chunming Qiao
Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving? CCS (2021)
Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. CoRR (2020)
Zhongjie Ba, Tianhang Zheng, Zhan Qin, Hanlin Yu, Liu Liu, Baochun Li, Xue Liu, Kui Ren
Accelerometer-based smartphone eavesdropping. MobiCom (2020)
Zhongjie Ba, Tianhang Zheng, Xinyu Zhang, Zhan Qin, Baochun Li, Xue Liu, Kui Ren
Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer. NDSS (2020)
Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition. CoRR (2020)
Tianhang Zheng, Zhi Sun, Kui Ren
FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification. INFOCOM (2019)
Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren
PointCloud Saliency Maps. ICCV (2019)
Tianhang Zheng, Zhi Sun, Kui Ren
FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification. CoRR (2019)
Tianhang Zheng, Changyou Chen, Kui Ren
Distributionally Adversarial Attack. AAAI (2019)
Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME (2019)
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
Towards Data Poisoning Attack against Knowledge Graph Embedding. CoRR (2019)
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
Data Poisoning Attack against Knowledge Graph Embedding. IJCAI (2019)
Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren
Learning Saliency Maps for Adversarial Point-Cloud Generation. CoRR (2018)
Tianhang Zheng, Changyou Chen, Kui Ren
Distributionally Adversarial Attack. CoRR (2018)
Tianhang Zheng, Zhi Sun, Kui Ren
Data Independent Identification for Privacy Preservation. PAC (2017)