Wang, Ganghua

7 publications

ICML 2025 On the Vulnerability of Applying Retrieval-Augmented Generation Within Knowledge-Intensive Application Domains Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding

ICLR 2024 Demystifying Poisoning Backdoor Attacks from a Statistical Perspective Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding

TMLR 2024 Mitigating Group Bias in Federated Learning: Beyond Local Fairness Ganghua Wang, Ali Payani, Myungjin Lee, Ramana Rao Kompella

NeurIPS 2024 RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding

NeurIPS 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding

ICLR 2023 Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh

ICML 2023 Understanding Backdoor Attacks Through the Adaptability Hypothesis Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding