Search Results for author: Martín Abadi

Found 8 papers, 6 papers with code

Adversarial Patch

10 code implementations27 Dec 2017 Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, Justin Gilmer

We present a method to create universal, robust, targeted adversarial image patches in the real world.

On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches

no code implementations26 Aug 2017 Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang

The recent, remarkable growth of machine learning has led to intense interest in the privacy of the data on which machine learning relies, and to new techniques for preserving privacy.

BIG-bench Machine Learning valid

Learning to Protect Communications with Adversarial Neural Cryptography

9 code implementations21 Oct 2016 Martín Abadi, David G. Andersen

We ask whether neural networks can learn to use secret keys to protect information from other neural networks.

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

8 code implementations18 Oct 2016 Nicolas Papernot, Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, Kunal Talwar

The approach combines, in a black-box fashion, multiple models trained with disjoint datasets, such as records from different subsets of users.

Transfer Learning

Deep Learning with Differential Privacy

24 code implementations1 Jul 2016 Martín Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang

Machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains.

BIG-bench Machine Learning

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