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This paper proposes a novel scheme for the watermarking of Deep Reinforcement Learning (DRL) policies.
Concrete problems in ai safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, and Dan Mané · 2016
Earlier work this paper cites.
Stealing machine learning models via prediction apis
Florian Tramèr, Fan Zhang, Ari Juels, Michael K Reiter, and Thomas Ristenpart · 2016
Earlier work this paper cites.
Digital watermarking and steganography: fundamentals and techniques
Frank Y Shih · 2017
Cited alongside, same era.
Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh · 2017
Cited alongside, same era.
The faults in our pi stars: Security issues and open challenges in deep reinforcement learning
Vahid Behzadan and Arslan Munir · 2018
Later among the works it cites.
Detecting backdoor attacks on deep neural networks by activation clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, and Biplav Srivastava · 2018
Later among the works it cites.
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