Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks

27 February 2023

Papers citing "Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks"

8 / 8 papers shown

Title
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning Oubo Ma L. Du Yang Dai Chunyi Zhou Qingming Li Yuwen Pu Shouling Ji 46 0 0 28 Jan 2025
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 34 1 0 04 Mar 2024
Performative Reinforcement Learning in Gradually Shifting Environments Ben Rank Stelios Triantafyllou Debmalya Mandal Goran Radanović OffRL 29 6 0 15 Feb 2024
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 24 2 0 01 Nov 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning Guanlin Liu Lifeng Lai AAML 38 6 0 15 Jul 2023
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 16 0 0 01 Jul 2023
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning Lun Wang Zaynah Javed Xian Wu Wenbo Guo Xinyu Xing D. Song AAML 166 64 0 02 May 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