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Thomas Steinke
Thomas Steinke
Google DeepMind
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
11452019
Concentrated differential privacy: Simplifications, extensions, and lower bounds
M Bun, T Steinke
Theory of Cryptography Conference, 635-658, 2016
10392016
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
3472018
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
341*2021
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
3392017
The Discrete Gaussian for Differential Privacy
C Canonne, G Kamath, T Steinke
arxiv preprint, arxiv:2004.00010, 2020
3112020
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
P Kairouz, Z Liu, T Steinke
ICML 2021, 2021
2642021
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
2242015
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
2052018
Reasoning About Generalization via Conditional Mutual Information
T Steinke, L Zakynthinou
COLT, arxiv:2001.09122, 2020
1822020
Between pure and approximate differential privacy
T Steinke, J Ullman
arXiv preprint arXiv:1501.06095, 2015
1782015
Interactive fingerprinting codes and the hardness of preventing false discovery
T Steinke, J Ullman
Conference on Learning Theory, 1588-1628, 2015
1292015
Hyperparameter Tuning with Renyi Differential Privacy
N Papernot, T Steinke
arxiv:2110.03620, 2021
1202021
Private Hypothesis Selection
M Bun, G Kamath, T Steinke, ZS Wu
IEEE Transactions on Information Theory 67 (3), 1981-2000, 2021
1142021
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
1002017
New Oracle-Efficient Algorithms for Private Synthetic Data Release
G Vietri, G Tian, M Bun, T Steinke, S Wu
ICML, 2020
952020
Tight lower bounds for differentially private selection
T Steinke, J Ullman
Foundations of Computer Science (FOCS), 2017 IEEE 58th Annual Symposium on …, 2017
942017
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
M Bun, T Steinke
NeurIPS, 2019
892019
Tight auditing of differentially private machine learning
M Nasr, J Hayes, T Steinke, B Balle, F Tramèr, M Jagielski, N Carlini, ...
32nd USENIX Security Symposium (USENIX Security 23), 1631-1648, 2023
852023
Evading the Curse of Dimensionality in Unconstrained Private GLMs
S Song, T Steinke, O Thakkar, A Thakurta
AISTATS, 2021
822021
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