COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

16 March 2022

Ding Zhao

Papers citing "COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks"

21 / 21 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 26 1 0 08 May 2025
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions Rui Yang Jie Wang Guoping Wu B. Li AAML OffRL 29 1 0 01 Nov 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 5 0 22 Apr 2024
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods Elita Lobo Harvineet Singh Marek Petrik Cynthia Rudin Himabindu Lakkaraju 23 3 0 06 Apr 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang Nezihe Merve Gürel Linyi Li Bo-wen Li 35 5 0 17 Mar 2024
Corruption-Robust Offline Reinforcement Learning with General Function Approximation Chen Ye Rui Yang Quanquan Gu Tong Zhang OffRL 25 17 0 23 Oct 2023
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption Rui Yang Han Zhong Jiawei Xu Amy Zhang Chong Zhang Lei Han Tong Zhang OffRL OnRL 41 15 0 19 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval Aayush Mishra Simon S. Du OffRL 16 0 0 28 Sep 2023
Survival Instinct in Offline Reinforcement Learning Anqi Li Dipendra Kumar Misra Andrey Kolobov Ching-An Cheng OffRL 16 15 0 05 Jun 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 32 2 0 07 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 11 1 0 24 Apr 2023
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 22 9 0 27 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 37 13 0 07 Feb 2023
Chaos Theory and Adversarial Robustness Jonathan S. Kent AAML 14 0 0 20 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 64 45 0 16 Sep 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing Rui Yang Chenjia Bai Xiaoteng Ma Zhaoran Wang Chongjie Zhang Lei Han OffRL 24 74 0 06 Jun 2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu Jermey McMahan Xiaojin Zhu Qiaomin Xie AAML OffRL 23 15 0 04 Jun 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning Lun Wang Zaynah Javed Xian Wu Wenbo Guo Xinyu Xing D. Song AAML 119 64 0 02 May 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 16 26 0 10 Feb 2021
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 11 128 0 09 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020