Lun Wang

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Dawn SongProfessor of Computer Science, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Wenbo GuoUC Santa BarbaraAdresă de e-mail confirmată pe ucsb.edu
xinyu xingNorthwestern UniversityAdresă de e-mail confirmată pe northwestern.edu
Om ThakkarMember of Technical Staff, OpenAIAdresă de e-mail confirmată pe openai.com
Joseph P. NearUniversity of VermontAdresă de e-mail confirmată pe uvm.edu
Shuai WangThe Hong Kong University of Science and TechnologyAdresă de e-mail confirmată pe cse.ust.hk
Abhradeep Guha ThakurtaGoogle Research - Brain TeamAdresă de e-mail confirmată pe google.com
Ari JuelsProfessor, Computer Science, Cornell Tech (Jacobs); Co-Director, IC3Adresă de e-mail confirmată pe cornell.edu
Fan ZhangAssistant Professor, Yale UniversityAdresă de e-mail confirmată pe yale.edu
Yupeng ZhangUniversity of Illinois Urbana ChampaignAdresă de e-mail confirmată pe illinois.edu
Ruoxi JiaAssistant Professor, Virginia TechAdresă de e-mail confirmată pe vt.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Banghua ZhuUniversity of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Arun GaneshResearch Scientist, GoogleAdresă de e-mail confirmată pe google.com
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonAdresă de e-mail confirmată pe cs.washington.edu
Thomas SteinkeGoogle DeepMindAdresă de e-mail confirmată pe google.com
Arun NarayananSenior Staff Research Scientist at Google DeepmindAdresă de e-mail confirmată pe google.com

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Lun Wang

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Differential Privacy Federated Learning Applied Cryptography


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	328*	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	228*
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	125	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	97	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	94*	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	51	2019
Why is public pretraining necessary for private model training? A Ganesh, M Haghifam, M Nasr, S Oh, T Steinke, O Thakkar, ... International Conference on Machine Learning, 10611-10627, 2023	48	2023
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	41*	2019
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	38*	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	28	2018
D2P-Fed: Differentially private federated learning with efficient communication L Wang, R Jia, D Song arXiv preprint arXiv:2006.13039, 2020	22	2020
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	21*	2019
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	19	2021
Towards practical differentially private causal graph discovery L Wang, Q Pang, D Song Advances in Neural Information Processing Systems 33, 5516-5526, 2020	17	2020
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space L Wang, I Pinelis, D Song The Tenth International Conference on Learning Representations, 2022	15	2022
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	10*	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	9	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	7	2023
Ratel: Mpc-extensions for smart contracts Y Li, K Soska, Z Huang, S Bellemare, M Quintyne-Collins, L Wang, X Liu, ... Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024	6	2024
Audiomarkbench: Benchmarking robustness of audio watermarking H Liu, M Guo, Z Jiang, L Wang, N Gong Advances in Neural Information Processing Systems 37, 52241-52265, 2025	5	2025

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