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Thomas Steinke
Thomas Steinke
Google DeepMind
Zweryfikowany adres z google.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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A hybrid approach to privacy-preserving federated learning
S Truex, N Baracaldo, A Anwar, T Steinke, H Ludwig, R Zhang, Y Zhou
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
7642019
Concentrated differential privacy: Simplifications, extensions, and lower bounds
M Bun, T Steinke
Theory of Cryptography Conference, 635-658, 2016
7642016
Algorithmic stability for adaptive data analysis
R Bassily, K Nissim, A Smith, T Steinke, U Stemmer, J Ullman
SIAM Journal on Computing 50 (3), STOC16-377-STOC16-405, 2021
307*2021
Differential Privacy: A Primer for a Non-Technical Audience.
A Wood, M Altman, A Bembenek, M Bun, M Gaboardi, J Honaker, ...
Vanderbilt Journal of Entertainment & Technology Law 21 (1), 2018
2662018
Exposed! a survey of attacks on private data
C Dwork, A Smith, T Steinke, J Ullman
Annual Review of Statistics and Its Application 4, 61-84, 2017
2342017
The Discrete Gaussian for Differential Privacy
C Canonne, G Kamath, T Steinke
arxiv preprint, arxiv:2004.00010, 2020
1822020
Robust Traceability from Trace Amounts
C Dwork, A Smith, T Steinke, J Ullman, S Vadhan
56th Annual IEEE Symposium on Foundations of Computer Science (FOCS) 56 …, 2015
1802015
Composable and Versatile Privacy via Truncated CDP
M Bun, C Dwork, GN Rothblum, T Steinke
50th Annual ACM Symposium on the Theory of Computing (STOC), 2018
1572018
Reasoning About Generalization via Conditional Mutual Information
T Steinke, L Zakynthinou
COLT, arxiv:2001.09122, 2020
1472020
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
P Kairouz, Z Liu, T Steinke
ICML 2021, 2021
1442021
Between pure and approximate differential privacy
T Steinke, J Ullman
arXiv preprint arXiv:1501.06095, 2015
1402015
Interactive fingerprinting codes and the hardness of preventing false discovery
T Steinke, J Ullman
Conference on Learning Theory, 1588-1628, 2015
1102015
Bridging the gap between computer science and legal approaches to privacy
K Nissim, A Bembenek, A Wood, M Bun, M Gaboardi, U Gasser, D O’Brien, ...
Harvard Journal of Law & Technology 31, 2017
772017
Tight lower bounds for differentially private selection
T Steinke, J Ullman
Foundations of Computer Science (FOCS), 2017 IEEE 58th Annual Symposium on …, 2017
762017
Private Hypothesis Selection
M Bun, G Kamath, T Steinke, ZS Wu
IEEE Transactions on Information Theory 67 (3), 1981-2000, 2021
752021
Hyperparameter Tuning with Renyi Differential Privacy
N Papernot, T Steinke
arxiv:2110.03620, 2021
672021
Pseudorandomness for regular branching programs via fourier analysis
O Reingold, T Steinke, S Vadhan
Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2013
662013
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
M Bun, T Steinke
NeurIPS, 2019
622019
New Oracle-Efficient Algorithms for Private Synthetic Data Release
G Vietri, G Tian, M Bun, T Steinke, S Wu
ICML, 2020
582020
Hierarchical heavy hitters with the space saving algorithm
M Mitzenmacher, T Steinke, J Thaler
2012 Proceedings of the Fourteenth Workshop on Algorithm Engineering and …, 2012
562012
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