14 citations · 44 across the 17 of their papers we have counts for
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cs.LG2020★ 4 cited
Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals
Yunhan Huang, Quanyan Zhu
This chapter studies emerging cyber-attacks on reinforcement learning (RL) and introduces a quantitative approach to analyze the vulnerabilities of RL. Focusing on adversarial mani…
cs.LG2019★ 14 cited
Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals
Yunhan Huang, Quanyan Zhu
This paper studies reinforcement learning (RL) under malicious falsification on cost signals and introduces a quantitative framework of attack models to understand the vulnerabilit…