Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning

9 October 2021

Papers citing "Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning"

24 / 24 papers shown

Title
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments Jianhui Li Bokang Zhang Junfeng Wu AAML OffRL OnRL 85 1 0 01 Dec 2024
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning Zhi Luo X. J. Yang Pan Zhou D. Wang AAML 62 0 0 20 Nov 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits Zhiwei Wang Huazheng Wang Hongning Wang AAML 25 0 0 21 Feb 2024
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents Wenkai Yang Xiaohan Bi Yankai Lin Sishuo Chen Jie Zhou Xu Sun LLMAG AAML 20 52 0 17 Feb 2024
Privacy and Security Implications of Cloud-Based AI Services : A Survey Alka Luqman Riya Mahesh Anupam Chattopadhyay 17 2 0 31 Jan 2024
Camouflage Adversarial Attacks on Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 13 0 0 30 Jan 2024
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning Jing Cui Yufei Han Yuzhe Ma Jianbin Jiao Junge Zhang AAML 19 12 0 19 Dec 2023
Optimal Attack and Defense for Reinforcement Learning Jeremy McMahan Young Wu Xiaojin Zhu Qiaomin Xie AAML OffRL 19 8 0 30 Nov 2023
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 19 1 0 01 Nov 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning Guanlin Liu Lifeng Lai AAML 33 6 0 15 Jul 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty Guanin Liu Zhihan Zhou Han Liu Lifeng Lai 15 1 0 15 Jul 2023
Data Poisoning to Fake a Nash Equilibrium in Markov Games Young Wu Jeremy McMahan Xiaojin Zhu Qiaomin Xie OffRL 13 2 0 13 Jun 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 11 9 0 27 Feb 2023
Adversarial Attacks on Adversarial Bandits Yuzhe Ma Zhijin Zhou AAML 8 8 0 30 Jan 2023
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 27 4 0 12 Dec 2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu Jermey McMahan Xiaojin Zhu Qiaomin Xie AAML OffRL 14 15 0 04 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning Yinglun Xu Qi Zeng Gagandeep Singh AAML 14 5 0 30 May 2022
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation Yunhan Huang Quanyan Zhu OffRL AAML 21 4 0 11 Mar 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 344 0 15 Dec 2021
Efficient Action Poisoning Attacks on Linear Contextual Bandits Guanlin Liu Lifeng Lai AAML 14 4 0 10 Dec 2021
When Are Linear Stochastic Bandits Attackable? Huazheng Wang Haifeng Xu Hongning Wang AAML 21 10 0 18 Oct 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 29 37 0 16 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 8 26 0 10 Feb 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016