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Increasing Confidence in Adversarial Robustness Evaluations


Jun 28, 2022
Roland S. Zimmermann, Wieland Brendel, Florian Tramer, Nicholas Carlini

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* Oral at CVPR 2022 Workshop (Art of Robustness). Project website https://zimmerrol.github.io/active-tests/ 

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The Privacy Onion Effect: Memorization is Relative


Jun 22, 2022
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis, Florian Tramer

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(Certified!!) Adversarial Robustness for Free!


Jun 21, 2022
Nicholas Carlini, Florian Tramer, Krishnamurthy, Dvijotham, J. Zico Kolter

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Debugging Differential Privacy: A Case Study for Privacy Auditing


Mar 28, 2022
Florian Tramer, Andreas Terzis, Thomas Steinke, Shuang Song, Matthew Jagielski, Nicholas Carlini

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Quantifying Memorization Across Neural Language Models


Feb 24, 2022
Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramer, Chiyuan Zhang

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Membership Inference Attacks From First Principles


Dec 07, 2021
Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, Florian Tramer

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Extracting Training Data from Large Language Models


Dec 14, 2020
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, Alina Oprea, Colin Raffel

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An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


Nov 10, 2020
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer

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