Lun Wang
Cited by
Cited by
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
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
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
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
{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
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
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
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
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
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
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
D2P-Fed: Differentially private federated learning with efficient communication
L Wang, R Jia, D Song
arXiv preprint arXiv:2006.13039, 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
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
L Wang, I Pinelis, D Song
The Tenth International Conference on Learning Representations, 2022
Towards practical differentially private causal graph discovery
L Wang, Q Pang, D Song
Advances in Neural Information Processing Systems 33, 5516-5526, 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
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
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
{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
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
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