Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

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Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

31 March 2022

Florian Tramèr

Ayrton San Joaquin

Matthew Jagielski

Sanghyun Hong

Nicholas Carlini

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Papers citing "Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets"

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Title
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 280 4,168 0 18 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 918 6,799 0 26 Sep 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 349 2,900 0 26 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 220 6,172 0 01 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 362 8,005 0 23 May 2016
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 129 1,595 0 27 Jun 2012