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ORCIDTianhang Zheng
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2020 – today
- 2024
[j4]Tianhang Zheng
, Baochun Li:
CMI: Client-Targeted Membership Inference in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 4122-4132 (2024)- [j3]Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren:
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 9534-9549 (2024) - [i15]Mengnan Zhao, Lihe Zhang, Tianhang Zheng, Yuqiu Kong, Baocai Yin:
Separable Multi-Concept Erasure from Diffusion Models. CoRR abs/2402.05947 (2024) - [i14]Tianhang Zheng, Baochun Li:
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning. CoRR abs/2402.16934 (2024) - [i13]Jia Li, Lijie Hu, Zhixian He, Jingfeng Zhang, Tianhang Zheng, Di Wang:
Text Guided Image Editing with Automatic Concept Locating and Forgetting. CoRR abs/2405.19708 (2024) - [i12]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 abs/2407.05112 (2024) - [i11]Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang:
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR abs/2407.15389 (2024) - [i10]Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang:
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services. CoRR abs/2408.02814 (2024) - [i9]Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang:
Faithful Interpretation for Graph Neural Networks. CoRR abs/2410.06950 (2024) - 2023
- [c15]Tianhang Zheng, Hao Lan, Baochun Li:
Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights. MLSys 2023 - [c14]Tianhang Zheng, Baochun Li:
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching. UAI 2023: 2541-2550 - [i8]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 abs/2310.13424 (2023) - [i7]Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang:
Fair Text-to-Image Diffusion via Fair Mapping. CoRR abs/2311.17695 (2023) - 2022
- [j2]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: 2468-2482 (2022) - [j1]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): 95:1-95:25 (2022) - [c13]Tianhang Zheng, Baochun Li:
InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity. AsiaCCS 2022: 437-451 - [c12]Tianhang Zheng, Baochun Li:
Poisoning Attacks on Deep Learning based Wireless Traffic Prediction. INFOCOM 2022: 660-669 - 2021
- [c11]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: 1945-1960 - [c10]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: 5151-5161 - [c9]Tianhang Zheng, Baochun Li:
First-Order Efficient General-Purpose Clean-Label Data Poisoning. INFOCOM 2021: 1-10 - 2020
- [c8]Zhongjie Ba, Tianhang Zheng, Zhan Qin, Hanlin Yu, Liu Liu, Baochun Li, Xue Liu, Kui Ren:
Accelerometer-based smartphone eavesdropping. MobiCom 2020: 73:1-73:2 - [c7]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 - [i6]Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren:
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition. CoRR abs/2005.07151 (2020) - [i5]Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu:
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. CoRR abs/2005.07347 (2020)
2010 – 2019
- 2019
- [c6]Tianhang Zheng, Changyou Chen, Kui Ren:
Distributionally Adversarial Attack. AAAI 2019: 2253-2260 - [c5]Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren:
PointCloud Saliency Maps. ICCV 2019: 1598-1606 - [c4]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: 1324-1329 - [c3]Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Data Poisoning Attack against Knowledge Graph Embedding. IJCAI 2019: 4853-4859 - [c2]Tianhang Zheng, Zhi Sun, Kui Ren:
FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification. INFOCOM 2019: 199-207 - [i4]Tianhang Zheng, Zhi Sun, Kui Ren:
FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification. CoRR abs/1901.05914 (2019) - [i3]Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Towards Data Poisoning Attack against Knowledge Graph Embedding. CoRR abs/1904.12052 (2019) - 2018
- [i2]Tianhang Zheng, Changyou Chen, Kui Ren:
Distributionally Adversarial Attack. CoRR abs/1808.05537 (2018) - [i1]Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren:
Learning Saliency Maps for Adversarial Point-Cloud Generation. CoRR abs/1812.01687 (2018) - 2017
- [c1]Tianhang Zheng, Zhi Sun, Kui Ren:
Data Independent Identification for Privacy Preservation. PAC 2017: 186-187
Coauthor Index
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last updated on 2024-12-04 21:13 CET by the dblp team
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