Author pages are created from data sourced from our academic publisher partnerships and public sources.
- Publications
- Influence
Share This Author
The Limitations of Deep Learning in Adversarial Settings
- Nicolas Papernot, P. Mcdaniel, S. Jha, Matt Fredrikson, Z. B. Celik, A. Swami
- Computer ScienceIEEE European Symposium on Security and Privacy…
- 24 November 2015
TLDR
MixMatch: A Holistic Approach to Semi-Supervised Learning
- David Berthelot, Nicholas Carlini, Ian J. Goodfellow, Nicolas Papernot, A. Oliver, Colin Raffel
- Computer ScienceNeurIPS
- 6 May 2019
TLDR
Ensemble Adversarial Training: Attacks and Defenses
- Florian Tramèr, A. Kurakin, Nicolas Papernot, D. Boneh, P. Mcdaniel
- Computer ScienceICLR
- 19 May 2017
TLDR
Practical Black-Box Attacks against Machine Learning
- Nicolas Papernot, P. Mcdaniel, Ian J. Goodfellow, S. Jha, Z. B. Celik, A. Swami
- Computer ScienceAsiaCCS
- 8 February 2016
TLDR
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
- Nicolas Papernot, P. Mcdaniel, Xi Wu, S. Jha, A. Swami
- Computer ScienceIEEE Symposium on Security and Privacy (SP)
- 14 November 2015
TLDR
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
- Nicolas Papernot, Martín Abadi, Ú. Erlingsson, Ian J. Goodfellow, Kunal Talwar
- Computer ScienceICLR
- 18 October 2016
TLDR
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
- Nicolas Papernot, P. Mcdaniel, Ian J. Goodfellow
- Computer ScienceArXiv
- 24 May 2016
TLDR
Adversarial Attacks on Neural Network Policies
- Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, P. Abbeel
- Computer ScienceICLR
- 8 February 2017
TLDR
Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples
- Nicolas Papernot, P. Mcdaniel, Ian J. Goodfellow, S. Jha, Z. B. Celik, A. Swami
- Computer ScienceArXiv
- 8 February 2016
TLDR
Scalable Private Learning with PATE
- Nicolas Papernot, Shuang Song, Ilya Mironov, A. Raghunathan, Kunal Talwar, Ú. Erlingsson
- Computer ScienceICLR
- 15 February 2018
TLDR
...
...