Lun Wang
University of California, Berkeley
H-index: 13
North America-United States
Top articles of Lun Wang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Noise masking attacks and defenses for pretrained speech models | Matthew Jagielski Om Thakkar Lun Wang | 2024/4/14 | |
Unintended memorization in large asr models, and how to mitigate it | Lun Wang Om Thakkar Rajiv Mathews | 2024/4/14 | |
Byzantine-robust federated learning with optimal statistical rates | Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao | 2023/4/11 | |
Ratel: MPC-extensions for Smart Contracts | Cryptology ePrint Archive | Yunqi Li Kyle Soska Zhen Huang Sylvain Bellemare Mikerah Quintyne-Collins | 2023 |
{PATROL}: Provable Defense against Adversarial Policy in Two-player Games | Wenbo Guo Xian Wu Lun Wang Xinyu Xing Dawn Song | 2023 | |
Secure federated correlation test and entropy estimation | Qi Pang Lun Wang Shuai Wang Wenting Zheng Dawn Song | 2023/7/3 | |
Why is public pretraining necessary for private model training? | Arun Ganesh Mahdi Haghifam Milad Nasr Sewoong Oh Thomas Steinke | 2023/7/3 | |
{PrivGuard}: Privacy regulation compliance made easier | Lun Wang Usmann Khan Joseph Near Qi Pang Jithendaraa Subramanian | 2022 | |
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space | arXiv preprint arXiv:2105.12363 | Lun Wang Iosif Pinelis Dawn Song | 2021/5/26 |
Towards Privacy-Preserving and Regulation-Compliant Data Analysis | Lun Wang | 2022 | |
Backdoorl: Backdoor attack against competitive reinforcement learning | arXiv preprint arXiv:2105.00579 | Lun Wang Zaynah Javed Xian Wu Wenbo Guo Xinyu Xing | 2021/5/2 |
Dplis: Boosting utility of differentially private deep learning via randomized smoothing | arXiv preprint arXiv:2103.01496 | Wenxiao Wang Tianhao Wang Lun Wang Nanqing Luo Pan Zhou | 2021/3/2 |
Towards practical differentially private causal graph discovery | Advances in Neural Information Processing Systems | Lun Wang Qi Pang Dawn Song | 2020 |
Towards inspecting and eliminating trojan backdoors in deep neural networks | Proceedings of the 22th IEEE International Conference on Data Mining. (ICDM'20) | Wenbo Guo Lun Wang Yan Xu Xinyu Xing Min Du | 2020 |
D2P-Fed: Differentially private federated learning with efficient communication | arXiv preprint arXiv:2006.13039 | Lun Wang Ruoxi Jia Dawn Song | 2020/6/22 |
Co-Authors
