3k citations · 8.1k across the 25 of their papers we have counts for
Showing 2017Show all
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cs.CV2017★ 134 cited
Adversarial Patch
Tom B. Brown, Dandelion Mané, Aurko Roy +2
We present a method to create universal, robust, targeted adversarial image patches in the real world. The patches are universal because they can be used to attack any scene, robus…
stat.ML2017★ 499 cited
Deep reinforcement learning from human preferences
Paul Christiano, Jan Leike, Tom B. Brown +3
For sophisticated reinforcement learning (RL) systems to interact usefully with real-world environments, we need to communicate complex goals to these systems. In this work, we exp…