156 citations · 275 across the 2 of their papers we have counts for
2 papers
cs.LG2018★ 156 cited
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, Ian Goodfellow +2
Advances in machine learning have led to broad deployment of systems with impressive performance on important problems. Nonetheless, these systems can be induced to make errors on…
cs.CR2016★ 119 cited
Learning to Protect Communications with Adversarial Neural Cryptography
Martín Abadi, David G. Andersen
We ask whether neural networks can learn to use secret keys to protect information from other neural networks. Specifically, we focus on ensuring confidentiality properties in a mu…