Nicolas Papernot
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Improving Differentially Private Models with Active Learning
Zhengli Zhao
Sameer Singh
Neoklis Polyzotis
Augustus Odena
arXiv preprint arXiv:1910.01177 (2019)
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Avital Oliver
Colin Raffel
NeurIPS (2019) (to appear)
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin Fathy Elsayed
Shreya Shankar
Brian Cheung
Ian Goodfellow
Jascha Sohl-dickstein
NeurIPS (2018)
A General Approach to Adding Differential Privacy to Iterative Training Procedures
Galen Andrew
Ilya Mironov
Steve Chien
NIPS (2018)
Scalable Private Learning with PATE
Ilya Mironov
Ananth Raghunathan
Kunal Talwar
International Conference on Learning Representations (ICLR) (2018)
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
Ian Goodfellow
Ilya Mironov
Kunal Talwar
Li Zhang
Proceedings of 30th IEEE Computer Security Foundations Symposium (CSF) (2017), pp. 1-6
