Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning

14 May 2020

Yan Zheng

Yang Liu

Papers citing "Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning"

50 / 56 papers shown

Title
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii AAML OffRL 23 0 0 20 Jun 2025
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning Xue Zhou Dapeng Man Chen Xu Fanyi Zeng Tao Liu Huan Wang Shucheng He Chaoyang Gao Wu Yang OffRL 25 0 0 12 Jun 2025
Can In-Context Reinforcement Learning Recover From Reward Poisoning Attacks? Paulius Sasnauskas Yiğit Yalın Goran Radanović 19 0 0 07 Jun 2025
Backdoors in DRL: Four Environments Focusing on In-distribution Triggers C. Ashcraft Ted Staley Josh Carney Cameron Hickert Derek Juba Kiran Karra AAML 58 0 0 22 May 2025
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies Basavasagar Patil Akansha Kalra Guanhong Tao Daniel S. Brown AAML 114 0 0 06 Feb 2025
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 100 2 0 28 Jan 2025
Criticality and Safety Margins for Reinforcement Learning Alexander Grushin Walt Woods Alvaro Velasquez Simon Khan AAML 102 1 0 26 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 81 0 0 31 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 71 0 0 31 Jul 2024
CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems Zhen Chen Yong Liao Youpeng Zhao Zipeng Dai Jian Zhao AAML 54 0 0 25 Jun 2024
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies Yipu Chen Haotian Xue Yongxin Chen AAML 64 5 0 29 May 2024
Adversarial Attacks on Reinforcement Learning Agents for Command and Control Ahaan Dabholkar James Z. Hare Mark R. Mittrick John Richardson Nick Waytowich Priya Narayanan Saurabh Bagchi AAML 69 1 0 02 May 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 74 2 0 04 Mar 2024
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems Oubo Ma Yuwen Pu L. Du Yang Dai Ruo Wang Xiaolei Liu Yingcai Wu Shouling Ji AAML 75 4 0 06 Feb 2024
Adaptive Discounting of Training Time Attacks Ridhima Bector Abhay M. S. Aradhya Chai Quek Zinovi Rabinovich AAML 80 0 0 05 Jan 2024
PGN: A perturbation generation network against deep reinforcement learning Xiangjuan Li Feifan Li Yang Li Quanbiao Pan AAML 60 2 0 20 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 89 6 0 12 Dec 2023
Optimal Attack and Defense for Reinforcement Learning Jeremy McMahan Young Wu Xiaojin Zhu Qiaomin Xie AAML OffRL 64 10 0 30 Nov 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 70 9 0 09 Jun 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu Souradip Chakraborty Yanchao Sun Furong Huang AAML 75 5 0 27 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy Jiawei Zhao Xingjun Ma Florian Schäfer Xinyu Wang Anima Anandkumar Cong Wang AAML 79 1 0 04 May 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 81 11 0 27 Feb 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 49 3 0 14 Feb 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 53 29 0 17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 66 6 0 11 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 133 20 0 31 Dec 2022
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks Junlin Wu Hussein Sibai Yevgeniy Vorobeychik AAML 58 0 0 28 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 73 4 0 12 Dec 2022
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility Lei Wang Hongyu Yang Yi Lin S. Yin Yuankai Wu 23 5 0 24 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 107 5 0 30 Oct 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 144 1 0 19 Sep 2022
Ad Hoc Teamwork in the Presence of Adversaries Ted Fujimoto Samrat Chatterjee A. Ganguly 75 3 0 09 Aug 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip Torr Adel Bibi Christian Schroeder de Witt AAML 78 8 0 20 Jul 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 73 23 0 21 Jun 2022
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Zikang Xiong Joe Eappen He Zhu Suresh Jagannathan AAML 46 10 0 14 Jun 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning Yi Hu Zhihua Zhang AAML 95 11 0 19 May 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 110 25 0 15 May 2022
Deep-Attack over the Deep Reinforcement Learning Yang Li Quanbiao Pan Min Zhang AAML 62 13 0 02 May 2022
A Survey on Metaverse: Fundamentals, Security, and Privacy Yuntao Wang Zhou Su Ning Zhang Rui Xing Dongxiao Liu Tom H. Luan X. Shen 128 838 0 05 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 106 48 0 18 Feb 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz 62 26 0 16 Dec 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 61 15 0 16 Sep 2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning You Qiaoben Chengyang Ying Xinning Zhou Hang Su Jun Zhu Bo Zhang AAML 114 17 0 30 Jun 2021
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses Buse G. A. Tekgul Shelly Wang Samuel Marchal Nadarajah Asokan AAML OffRL 83 6 0 16 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Leilei Gan Jiwei Li Tianwei Zhang AAML SILM 103 52 0 03 Jun 2021
Online Adversarial Attacks Andjela Mladenovic A. Bose Hugo Berard William L. Hamilton Simon Lacoste-Julien Pascal Vincent Gauthier Gidel AAML 57 10 0 02 Mar 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 95 138 0 14 Feb 2021
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents Xian Yeow Lee Yasaman Esfandiari Kai Liang Tan Soumik Sarkar AAML 77 33 0 13 Nov 2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Yupeng Cheng Felix Juefei Xu Qing Guo Huazhu Fu Xiaofei Xie Shang-Wei Lin Weisi Lin Yang Liu AAML MedIm 73 0 0 19 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 57 28 0 06 Sep 2020