Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning

29 August 2022

Papers citing "Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning"

5 / 5 papers shown

Title
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 46 4 0 30 May 2024
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path Qiwei Di Jiafan He Dongruo Zhou Quanquan Gu 33 2 0 14 Feb 2024
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
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 32 26 0 10 Feb 2021