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Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations

Feb 11, 2020
Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen

* Supersedes the workshop paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness" (arXiv:1903.10484) 

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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Adversarial Training and Robustness for Multiple Perturbations

Apr 30, 2019
Florian Tramèr, Dan Boneh

* 22 pages 

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Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness

Mar 25, 2019
Jörn-Henrik Jacobsen, Jens Behrmannn, Nicholas Carlini, Florian Tramèr, Nicolas Papernot

* Accepted at the ICLR 2019 SafeML Workshop 

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Ad-versarial: Defeating Perceptual Ad-Blocking

Nov 08, 2018
Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, Dan Boneh

* 19 pages, 12 figures 

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Ensemble Adversarial Training: Attacks and Defenses

Jul 22, 2018
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel

* 20 pages, 5 figures, International Conference on Learning Representations (ICLR) 2018 

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The Space of Transferable Adversarial Examples

May 23, 2017
Florian Tramèr, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel

* 15 pages, 7 figures 

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Stealing Machine Learning Models via Prediction APIs

Oct 03, 2016
Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, Thomas Ristenpart

* 19 pages, 7 figures, Proceedings of USENIX Security 2016 

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