Peter Kairouz
Peter Kairouz
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
2372019
The composition theorem for differential privacy
P Kairouz, S Oh, P Viswanath
IEEE Transactions on Information Theory 63 (6), 4037-4049, 2017
2172017
Extremal mechanisms for local differential privacy
P Kairouz, S Oh, P Viswanath
Advances in neural information processing systems, 2879-2887, 2014
1892014
Discrete distribution estimation under local privacy
P Kairouz, K Bonawitz, D Ramage
arXiv preprint arXiv:1602.07387, 2016
1202016
The staircase mechanism in differential privacy
Q Geng, P Kairouz, S Oh, P Viswanath
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1176-1184, 2015
772015
Context-aware generative adversarial privacy
C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal
Entropy 19 (12), 656, 2017
762017
Extremal mechanisms for local differential privacy
P Kairouz, S Oh, P Viswanath
The Journal of Machine Learning Research 17 (1), 492-542, 2016
732016
Spy vs. spy: Rumor source obfuscation
G Fanti, P Kairouz, S Oh, P Viswanath
Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015
542015
Secure multi-party differential privacy
P Kairouz, S Oh, P Viswanath
Advances in neural information processing systems, 2008-2016, 2015
302015
Hiding the rumor source
G Fanti, P Kairouz, S Oh, K Ramchandran, P Viswanath
IEEE Transactions on Information Theory 63 (10), 6679-6713, 2017
292017
A general approach to adding differential privacy to iterative training procedures
HB McMahan, G Andrew, U Erlingsson, S Chien, I Mironov, N Papernot, ...
arXiv preprint arXiv:1812.06210, 2018
282018
The composition theorem for differential privacy
S Oh, P Viswanath
arXiv preprint arXiv:1311.0776, 2013
272013
Generative adversarial privacy
C Huang, P Kairouz, X Chen, L Sankar, R Rajagopal
arXiv preprint arXiv:1807.05306, 2018
262018
Can you really backdoor federated learning?
Z Sun, P Kairouz, AT Suresh, HB McMahan
arXiv preprint arXiv:1911.07963, 2019
222019
Generative models for effective ml on private, decentralized datasets
S Augenstein, HB McMahan, D Ramage, S Ramaswamy, P Kairouz, ...
arXiv preprint arXiv:1911.06679, 2019
212019
Rumor source obfuscation on irregular trees
G Fanti, P Kairouz, S Oh, K Ramchandran, P Viswanath
ACM SIGMETRICS Performance Evaluation Review 44 (1), 153-164, 2016
212016
Differentially private multi-party computation: Optimality of non-interactive randomized response
P Kairouz, S Oh, P Viswanath
arXiv preprint arXiv:1407.1546, 2014
142014
Variable block length and superposition coding for hybrid automatic repeat request
P Kairouz, AK Sadek, TA Kadous
US Patent App. 14/025,713, 2014
142014
Dp-cgan: Differentially private synthetic data and label generation
R Torkzadehmahani, P Kairouz, B Paten
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
132019
Federated heavy hitters discovery with differential privacy
W Zhu, P Kairouz, B McMahan, H Sun, W Li
International Conference on Artificial Intelligence and Statistics, 3837-3847, 2020
112020
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