Ilya Mironov
Ilya Mironov
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Cited by
Cited by
Deep learning with differential privacy
M Abadi, A Chu, I Goodfellow, HB McMahan, I Mironov, K Talwar, L Zhang
Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016
Our data, ourselves: Privacy via distributed noise generation
C Dwork, K Kenthapadi, F McSherry, I Mironov, M Naor
Advances in Cryptology-EUROCRYPT 2006: 24th Annual International Conference …, 2006
Renyi differential privacy
I Mironov
2017 IEEE 30th Computer Security Foundations Symposium (CSF), 263-275, 2017
Differentially private recommender systems: building privacy into the Netflix Prize contenders
F McSherry, I Mironov
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
Incentives for sharing in peer-to-peer networks
P Golle, K Leyton-Brown, I Mironov
Proceedings of the 3rd ACM conference on Electronic Commerce (EC 2001), 264-267, 2001
Scalable Private Learning with PATE
N Papernot, S Song, I Mironov, A Raghunathan, K Talwar, Ú Erlingsson
International Conference on Learning Representations (ICLR), 2018
Cache-collision timing attacks against AES
J Bonneau, I Mironov
Cryptographic Hardware and Embedded Systems---CHES 2006, 201-215, 2006
Frodo: Take off the ring! practical, quantum-secure key exchange from LWE
J Bos, C Costello, L Ducas, I Mironov, M Naehrig, V Nikolaenko, ...
Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016
PROCHLO: Strong privacy for analytics in the crowd
A Bittau, Ú Erlingsson, P Maniatis, I Mironov, A Raghunathan, D Lie, ...
Proceedings of the 26th Symposium on Operating Systems Principles (SOSP …, 2017
Amplification by shuffling: From local to central differential privacy via anonymity
Ú Erlingsson, V Feldman, I Mironov, A Raghunathan, K Talwar, ...
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
Uncheatable distributed computations
P Golle, I Mironov
Topics in Cryptology---CT-RSA 2001, 425-440, 2001
Computational differential privacy
I Mironov, O Pandey, O Reingold, S Vadhan
Advances in Cryptology---CRYPTO 2009, 126-142, 2009
Opacus: User-friendly differential privacy library in PyTorch
A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ...
arXiv preprint arXiv:2109.12298, 2021
On significance of the least significant bits for differential privacy
I Mironov
Proceedings of the 2012 ACM Conference on Computer and Communications …, 2012
Applications of SAT solvers to cryptanalysis of hash functions
I Mironov, L Zhang
Theory and Applications of Satisfiability Testing---SAT 2006, 102-115, 2006
R\'enyi differential privacy of the sampled gaussian mechanism
I Mironov, K Talwar, L Zhang
arXiv preprint arXiv:1908.10530, 2019
The limits of two-party differential privacy
A McGregor, I Mironov, T Pitassi, O Reingold, K Talwar, S Vadhan
51st Annual IEEE Symposium on Foundations of Computer Science (FOCS), 81-90, 2010
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
(Not so) random shuffles of RC4
I Mironov
Advances in Cryptology---CRYPTO 2002, 304-319, 2002
Privacy amplification by iteration
V Feldman, I Mironov, K Talwar, A Thakurta
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
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