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Measuring Forgetting of Memorized Training Examples


Jun 30, 2022
Matthew Jagielski, Om Thakkar, Florian Tramèr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Chiyuan Zhang

* 19 pages, 7 figures 

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Increasing Confidence in Adversarial Robustness Evaluations


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

* 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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Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets


Mar 31, 2022
Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini


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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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Counterfactual Memorization in Neural Language Models


Dec 24, 2021
Chiyuan Zhang, Daphne Ippolito, Katherine Lee, Matthew Jagielski, Florian Tramèr, Nicholas Carlini

* 43 pages, 34 figures 

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