| 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 | 6973 | 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 | 2591 | 2006 |
| Renyi differential privacy I Mironov 2017 IEEE 30th Computer Security Foundations Symposium (CSF), 263-275, 2017 | 1690 | 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 | 979 | 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 | 868 | 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 | 756 | 2018 |
| Cache-collision timing attacks against AES J Bonneau, I Mironov Cryptographic Hardware and Embedded Systems---CHES 2006, 201-215, 2006 | 545 | 2006 |
| 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 | 523 | 2017 |
| 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 | 504 | 2016 |
| 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 | 495 | 2019 |
| 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 | 360 | 2021 |
| Uncheatable distributed computations P Golle, I Mironov Topics in Cryptology---CT-RSA 2001, 425-440, 2001 | 360 | 2001 |
| Computational differential privacy I Mironov, O Pandey, O Reingold, S Vadhan Advances in Cryptology---CRYPTO 2009, 126-142, 2009 | 328 | 2009 |
| R\'enyi differential privacy of the sampled gaussian mechanism I Mironov, K Talwar, L Zhang arXiv preprint arXiv:1908.10530, 2019 | 269 | 2019 |
| On significance of the least significant bits for differential privacy I Mironov Proceedings of the 2012 ACM Conference on Computer and Communications …, 2012 | 267 | 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 | 250 | 2006 |
| 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 | 226 | 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 | 225 | 2018 |
| (Not so) random shuffles of RC4 I Mironov Advances in Cryptology---CRYPTO 2002, 304-319, 2002 | 195 | 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 | 193 | 2018 |
Kunal TalwarApple Inc在 apple.com 的电子邮件经过验证
