Matrix analysis
R. A. Horn and C. R. Johnson · 2012
Cited alongside, same era.
Private convex empirical risk minimization and high-dimensional regression
D. Kifer, A. Smith, and A. Thakurta · 2012
Cited alongside, same era.
Differentially private empirical risk minimization: Efficient algorithms and tight error bounds
R. Bassily, A. Smith, and A. Thakurta · 2014
Cited alongside, same era.
The algorithmic foundations of differential privacy
C. Dwork, A. Roth, et al · 2014
Cited alongside, same era.
Model inversion attacks that exploit confidence information and basic countermeasures
M. Fredrikson, S. Jha, and T. Ristenpart · 2015
Cited alongside, same era.
Deep learning with differential privacy
M. Abadi, A. Chu, I. Goodfellow, H. McMahan, I. Mironov, K. Talwar, and L. Zhang · 2016
Cited alongside, same era.
Concentrated differential privacy
Original
C. Dwork and G. N. Rothblum · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Semi-supervised knowledge transfer for deep learning from private training data
Original
N. Papernot, M. Abadi, U. Erlingsson, I. Goodfellow, and K. Talwar · 2016
Cited alongside, same era.
Stealing machine learning models via prediction APIs
F. Tramèr, F. Zhang, A. Juels, M. K. Reiter, and T. Ristenpart · 2016
Cited alongside, same era.
Membership inference attacks against machine learning models
R. Shokri, M. Stronati, C. Song, and V. Shmatikov · 2017
Cited alongside, same era.
Differentially private empirical risk minimization revisited: Faster and more general
D. Wang, M. Ye, and J. Xu · 2017
Cited alongside, same era.