Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals

24 June 2019

Papers citing "Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals"

23 / 23 papers shown

Title
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits Zhiwei Wang Huazheng Wang Hongning Wang AAML 49 0 0 21 Feb 2024
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 33 18 0 31 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 42 4 0 12 Dec 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 28 47 0 12 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Reward Delay Attacks on Deep Reinforcement Learning Anindya Sarkar Jiarui Feng Yevgeniy Vorobeychik Christopher Gill Ning Zhang AAML 13 6 0 08 Sep 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis Tao Li Haozhe Lei Quanyan Zhu AAML 29 7 0 29 Jul 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Bo-wen Li AAML OffRL 32 34 0 16 Mar 2022
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation Yunhan Huang Quanyan Zhu OffRL AAML 36 4 0 11 Mar 2022
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 38 4 0 10 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 19 4 0 02 Dec 2021
Game Redesign in No-regret Game Playing Yuzhe Ma Young Wu Xiaojin Zhu 24 10 0 18 Oct 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 32 34 0 09 Oct 2021
A study of first-passage time minimization via Q-learning in heated gridworlds M. A. Larchenko Pavel Osinenko Grigory Yaremenko V. V. Palyulin 26 4 0 05 Oct 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 16 66 0 02 Jul 2021
Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice Quanyan Zhu Stefan Rass Bernhard Dieber Víctor Mayoral-Vilches 13 21 0 09 Mar 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 44 37 0 16 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 35 26 0 10 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 67 162 0 21 Jan 2021
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 28 29 0 21 Nov 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 9 120 0 28 Mar 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla Xiaojin Zhu AAML 23 124 0 27 Mar 2020
iSTRICT: An Interdependent Strategic Trust Mechanism for the Cloud-Enabled Internet of Controlled Things J. Pawlick Juntao Chen Quanyan Zhu 31 50 0 01 May 2018