Tianhang Zheng

According to our database, Tianhang Zheng authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FLTracer: Accurate Poisoning Attack Provenance in Federated Learning.

Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren

IEEE Trans. Inf. Forensics Secur., 2024

CMI: Client-Targeted Membership Inference in Federated Learning.

Tianhang Zheng, Baochun Li

IEEE Trans. Dependable Secur. Comput., 2024

Faithful Interpretation for Graph Neural Networks.

Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang

CoRR, 2024

Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services.

Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang

CoRR, 2024

Poisoning with A Pill: Circumventing Detection in Federated Learning.

Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang

CoRR, 2024

Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning.

Binhao Ma, Tianhang Zheng, Hongsheng Hu, Di Wang, Shuo Wang, Zhongjie Ba, Zhan Qin, Kui Ren

CoRR, 2024

Text Guided Image Editing with Automatic Concept Locating and Forgetting.

Jia Li, Lijie Hu, Zhixian He, Jingfeng Zhang, Tianhang Zheng, Di Wang

CoRR, 2024

FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning.

Tianhang Zheng, Baochun Li

CoRR, 2024

Separable Multi-Concept Erasure from Diffusion Models.

Mengnan Zhao, Lihe Zhang, Tianhang Zheng, Yuqiu Kong, Baocai Yin

CoRR, 2024

2023

Fair Text-to-Image Diffusion via Fair Mapping.

Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

CoRR, 2023

RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching.

Tianhang Zheng, Baochun Li

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights.

Tianhang Zheng, Hao Lan, Baochun Li

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

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

Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection.

Mengnan Zhao, Bo Wang, Wei Wang, Yuqiu Kong, Tianhang Zheng, Kui Ren

IEEE Trans. Inf. Forensics Secur., 2022

Poisoning Attacks on Deep Learning based Wireless Traffic Prediction.

Tianhang Zheng, Baochun Li

Proceedings of the IEEE INFOCOM 2022, 2022

InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity.

Tianhang Zheng, Baochun Li

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

First-Order Efficient General-Purpose Clean-Label Data Poisoning.

Tianhang Zheng, Baochun Li

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness.

Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving?

Yi Zhu, Chenglin Miao, Tianhang Zheng, Foad Hajiaghajani, Lu Su, Chunming Qiao

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness.

Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu

CoRR, 2020

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition.

Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren

CoRR, 2020

Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer.

Zhongjie Ba, Tianhang Zheng, Xinyu Zhang, Zhan Qin, Baochun Li, Xue Liu, Kui Ren

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Accelerometer-based smartphone eavesdropping.

Zhongjie Ba, Tianhang Zheng, Zhan Qin, Hanlin Yu, Liu Liu, Baochun Li, Xue Liu, Kui Ren

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

2019

Towards Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

CoRR, 2019

FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification.

Tianhang Zheng, Zhi Sun, Kui Ren

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks.

Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

PointCloud Saliency Maps.

Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Distributionally Adversarial Attack.

Tianhang Zheng, Changyou Chen, Kui Ren

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Saliency Maps for Adversarial Point-Cloud Generation.

Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren

CoRR, 2018

2017

Data Independent Identification for Privacy Preservation.

Tianhang Zheng, Zhi Sun, Kui Ren

Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017