Pang, Meng

10 publications

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

AAAI 2025 Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis Meng Pang, Houwei Xu, Zheng Huang, Yintao Zhou, Wei Huang, Binghui Wang

CVPR 2025 Deterministic Certification of Graph Neural Networks Against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li, Meng Pang, Yun Dong, Binghui Wang

AAAI 2025 Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - A Graph Sequential Embedding Method Jiate Li, Meng Pang, Binghui Wang

ICLR 2025 Provably Robust Explainable Graph Neural Networks Against Graph Perturbation Attacks Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

CVPR 2025 UMFN: Unified Multi-Domain Face Normalization for Joint Cross-Domain Prototype Learning and Heterogeneous Face Recognition Meng Pang, Wenjun Zhang, Nanrun Zhou, Shengbo Chen, Hong Rao

ICCV 2025 You Are Your Own Best Teacher: Achieving Centralized-Level Performance in Federated Learning Under Heterogeneous and Long-Tailed Data Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang

AAAI 2024 Consistency-GAN: Training GANs with Consistency Model Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao

ICML 2024 Graph Neural Network Explanations Are Fragile Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

CVPR 2023 Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks Binghui Wang, Meng Pang, Yun Dong