Wang, Lun

8 publications

ICLR 2025 Revisit Micro-Batch Clipping: Adaptive Data Pruning via Gradient Manipulation Lun Wang

NeurIPS 2024 AudioMarkBench: Benchmarking Robustness of Audio Watermarking Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong

AISTATS 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan

ICML 2023 Secure Federated Correlation Test and Entropy Estimation Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song

ICML 2023 Why Is Public Pretraining Necessary for Private Model Training? Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang

ICLR 2022 Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space Lun Wang, Iosif Pinelis, Dawn Song

IJCAI 2021 BACKDOORL: Backdoor Attack Against Competitive Reinforcement Learning Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

NeurIPS 2020 Towards Practical Differentially Private Causal Graph Discovery Lun Wang, Qi Pang, Dawn Song