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2017

Delving into adversarial attacks on deep policies

Kos, Jernej, Song, Dawn

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Adversarial examples have been shown to exist for a variety of deep learning architectures.

Deep reinforcement learning has shown promising results on training agent policies directly on raw inputs such as image pixels.
In this paper we present a novel study into adversarial attacks on deep reinforcement learning polices.
We compare the effectiveness of the attacks using adversarial examples vs.

Delving into adversarial attacks on deep policies · Around

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Intriguing properties of neural networks
Original
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Original
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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