Towards inspecting and eliminating trojan backdoors in deep neural networks W Guo, L Wang, Y Xu, X Xing, M Du, D Song 2020 IEEE International Conference on Data Mining (ICDM), 162-171, 2020 | 277* | 2020 |
Towards Practical Differentially Private Convex Optimization R Iyengar*, JP Near*, D Song*, O Thakkar*, A Thakurta*, L Wang* Towards Practical Differentially Private Convex Optimization, 0, 0 | 196* | |
CHURP: dynamic-committee proactive secret sharing SKD Maram, F Zhang, L Wang, A Low, Y Zhang, A Juels, D Song Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 102 | 2019 |
Backdoorl: Backdoor attack against competitive reinforcement learning L Wang, Z Javed, X Wu, W Guo, X Xing, D Song arXiv preprint arXiv:2105.00579, 2021 | 78 | 2021 |
{PrivGuard}: Privacy regulation compliance made easier L Wang, U Khan, J Near, Q Pang, J Subramanian, N Somani, P Gao, ... 31st USENIX Security Symposium (USENIX Security 22), 3753-3770, 2022 | 72* | 2022 |
Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy JP Near, D Darais, C Abuah, T Stevens, P Gaddamadugu, L Wang, ... Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-30, 2019 | 42 | 2019 |
A generic technique for sketches to adapt to different counting ranges T Yang, J Xu, X Liu, P Liu, L Wang, J Bi, X Li IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2017-2025, 2019 | 33* | 2019 |
Why is public pretraining necessary for private model training? A Ganesh, M Haghifam, M Nasr, S Oh, T Steinke, O Thakkar, AG Thakurta, ... International Conference on Machine Learning, 10611-10627, 2023 | 29 | 2023 |
Byzantine-robust federated learning with optimal statistical rates B Zhu, L Wang, Q Pang, S Wang, J Jiao, D Song, MI Jordan International Conference on Artificial Intelligence and Statistics, 3151-3178, 2023 | 28* | 2023 |
Empowering sketches with machine learning for network measurements T Yang*, L Wang*, Y Shen, M Shahzad, Q Huang, X Jiang, K Tan, X Li Proceedings of the 2018 Workshop on Network Meets AI & ML, 15-20, 2018 | 25 | 2018 |
Fine-grained probability counting for cardinality estimation of data streams L Wang, T Yang, H Wang, J Jiang, Z Cai, B Cui, X Li World Wide Web 22, 2065-2081, 2019 | 19* | 2019 |
D2P-Fed: Differentially private federated learning with efficient communication L Wang, R Jia, D Song arXiv preprint arXiv:2006.13039, 2020 | 18 | 2020 |
Dplis: Boosting utility of differentially private deep learning via randomized smoothing W Wang, T Wang, L Wang, N Luo, P Zhou, D Song, R Jia arXiv preprint arXiv:2103.01496, 2021 | 15 | 2021 |
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space L Wang, I Pinelis, D Song The Tenth International Conference on Learning Representations, 2022 | 14 | 2022 |
Towards practical differentially private causal graph discovery L Wang, Q Pang, D Song Advances in Neural Information Processing Systems 33, 5516-5526, 2020 | 12 | 2020 |
Secure federated correlation test and entropy estimation Q Pang, L Wang, S Wang, W Zheng, D Song International Conference on Machine Learning, 26990-27010, 2023 | 8* | 2023 |
Unintended memorization in large asr models, and how to mitigate it L Wang, O Thakkar, R Mathews ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
Noise masking attacks and defenses for pretrained speech models M Jagielski, O Thakkar, L Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
{PATROL}: Provable Defense against Adversarial Policy in Two-player Games W Guo, X Wu, L Wang, X Xing, D Song 32nd USENIX Security Symposium (USENIX Security 23), 3943-3960, 2023 | 2 | 2023 |
FISF: Better user experience using smaller bandwidth for panoramic virtual reality video L Wang, D Dai, J Jiang, T Yang, X Jiang, Z Cai, Y Li, X Li arXiv preprint arXiv:1704.06444, 2017 | 2 | 2017 |