Nicolas Papernot

Nicolas Papernot

Authored Publications
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MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Avital Oliver
Colin Raffel
NeurIPS (2019) (to appear)
Improving Differentially Private Models with Active Learning
Zhengli Zhao
Sameer Singh
Neoklis Polyzotis
Augustus Odena
arXiv preprint arXiv:1910.01177 (2019)
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)
Ensemble Adversarial Training: Attacks and Defenses
Dan Boneh
Florian Tramèr
Ian Goodfellow
Patrick McDaniel
ICLR (2018)
Scalable Private Learning with PATE
Ilya Mironov
Ananth Raghunathan
Kunal Talwar
International Conference on Learning Representations (ICLR) (2018)
Adversarial Attacks on Neural Network Policies
Sandy Huang
Ian Goodfellow
Yan Duan
Pieter Abbeel
arXiv (2017)
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