Hong, Yuan

8 publications

TMLR 2026 Theoretically Understanding Data Reconstruction Leakage in Federated Learning Binghui Zhang, Zifan Wang, Meng Pang, Yuan Hong, Binghui Wang

AAAI 2025 Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang

NeurIPS 2024 FedGMark: Certifiably Robust Watermarking for Federated Graph Learning Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang

CVPR 2024 On the Faithfulness of Vision Transformer Explanations Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan

AAAI 2024 Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang

ECML-PKDD 2023 Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong

ECCV 2022 UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong, Binghui Wang, Yuan Hong

NeurIPSW 2022 When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu