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Extracting Training Data from Large Language Models
[arXiv]
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Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, Alina Oprea and Colin Raffel
USENIX Security 2021
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Advances and Open Problems in Federated Learning
[arXiv]
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Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D’Oliveira, Hubert Eichner and others
Foundations and Trends in ML 2021
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NeuraCrypt is not private
[arXiv]
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Nicholas Carlini, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody and Florian Tramèr (αβ-order)
PPML Workshop 2021
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On the Opportunities and Risks of Foundation Models
[arXiv]
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Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch and others
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