Mironov, Ilya

Deep Learning with Differential Privacy

Abadi, M., Chu, A., Goodfellow, I., McMahan, H. B., Mironov, I., Talwar, K., & Zhang, L. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 6,578

Our Data, Ourselves: Privacy Via Distributed Noise Generation

Dwork, C., Kenthapadi, K., McSherry, F., Mironov, I., & Naor, M. (2006) · Lecture Notes in Computer Science

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 1,835

Rényi Differential Privacy

Mironov, I. (2017) · 2017 IEEE 30th Computer Security Foundations Symposium (CSF)

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 1,255

Prochlo: Strong Privacy for Analytics in the Crowd

Bittau, A., Erlingsson, Ú., Maniatis, P., Mironov, I., Raghunathan, A., Lie, D., Rudominer, M., Kode, U., Tinnes, J., & Seefeld, B. (2017) · Proceedings of the 26th Symposium on Operating Systems Principles

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 378

Scalable Private Learning with PATE

Papernot, N., Song, S., Mironov, I., Raghunathan, A., Talwar, K., & Erlingsson, Ú. (2018) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 373

A General Approach to Adding Differential Privacy to Iterative Training Procedures

McMahan, H. B., Andrew, G., Erlingsson, U., Chien, S., Mironov, I., Papernot, N., & Kairouz, P. (2018) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 126