Delving into adversarial attacks on deep policies

18 May 2017

Papers citing "Delving into adversarial attacks on deep policies"

50 / 133 papers shown

Title
Frequency-Invariant Beamforming in Elevation and Azimuth via Autograd and Concentric Circular Microphone Arrays Jorge Ortigoso-Narro Jose A. Belloch Maximo Morales-Cespedes Maximo Cobos 100 0 0 24 Nov 2025
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses Wu Yichao Wang Yirui Ding Panpan Wang Hailong Zhu Bingqian Liu Chun AAML 81 1 0 23 Oct 2025
Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning James Pedley Benjamin Etheridge Stephen J. Roberts Francesco Quinzan OffRL AAML 81 0 0 14 Oct 2025
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning Simin Li Zihao Mao Hanxiao Li Zonglei Jing Zhuohang bian ... Yuqing Ma Bo An Yaodong Yang Weifeng Lv Xianglong Liu 96 0 0 13 Oct 2025
Constrained Black-Box Attacks Against Multi-Agent Reinforcement Learning Amine Andam Jamal Bentahar Mustapha Hedabou AAML 65 0 0 12 Aug 2025
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning Debamita Ghosh George Atia Yue Wang OffRL OOD 183 3 0 05 Aug 2025
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach Adithya Mohan Dominik Rößle Daniel Cremers Torsten Schön AAML 96 0 0 22 Jul 2025
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 146 0 0 20 Jun 2025
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2025 Xue Zhou Dapeng Man Chen Xu Fanyi Zeng Tao Liu Huan Wang Shucheng He Chaoyang Gao Wu Yang OffRL 141 0 0 12 Jun 2025
Large Language Model Evaluation via Matrix Nuclear-Norm Yongbin Li Tingyu Xia Yi-Ju Chang Yuan Wu 272 2 0 14 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector QuantizationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Tung M. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 189 1 0 04 Oct 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 202 1 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 298 0 0 31 Jul 2024
A Novel Bifurcation Method for Observation Perturbation Attacks on Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical Power System Kiernan Broda-Milian Ranwa Al-Mallah H. Dagdougui AAML 118 0 0 06 Jul 2024
Understanding and Diagnosing Deep Reinforcement Learning Ezgi Korkmaz 127 4 0 23 Jun 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 207 6 0 20 Jun 2024
The Benefits of Power Regularization in Cooperative Reinforcement Learning Michelle Li Michael Dennis 179 3 0 17 Jun 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and DefensesInternational Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024 Thanh Nguyen Tung M. Luu Tri Ton Chang D. Yoo OffRL AAML 216 3 0 18 May 2024
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods Elita Lobo Harvineet Singh Marek Petrik Cynthia Rudin Himabindu Lakkaraju 170 3 0 06 Apr 2024
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies Xiangyu Liu Chenghao Deng Yanchao Sun Yongyuan Liang Furong Huang AAML 247 10 0 20 Feb 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance Ted Fujimoto Joshua Suetterlein Samrat Chatterjee A. Ganguly OffRL 221 9 0 05 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 273 4 0 03 Feb 2024
Adaptive Discounting of Training Time Attacks Ridhima Bector Abhay M. S. Aradhya Chai Quek Zinovi Rabinovich AAML 193 0 0 05 Jan 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 211 7 0 04 Jan 2024
PGN: A perturbation generation network against deep reinforcement learning Xiangjuan Li Feifan Li Yang Li Quanbiao Pan AAML 89 2 0 20 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 265 8 0 12 Dec 2023
Optimal Attack and Defense for Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Jeremy McMahan Young Wu Xiaojin Zhu Qiaomin Xie AAML OffRL 245 14 0 30 Nov 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin PackingNeural Information Processing Systems (NeurIPS), 2023 Yuxin Pan Yize Chen Fangzhen Lin OffRL 190 17 0 06 Oct 2023
Stabilizing Unsupervised Environment Design with a Learned Adversary Ishita Mediratta Minqi Jiang Jack Parker-Holder Michael Dennis Eugene Vinitsky Tim Rocktaschel 237 18 0 21 Aug 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He Songyang Han Sanbao Su Shuo Han Shaofeng Zou Fei Miao OOD 193 60 0 30 Jul 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 301 686 0 27 Jul 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach Tuomas Sandholm Furong Huang Alexander Shmakov OOD 167 0 0 22 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial AttacksNeurocomputing (Neurocomputing), 2023 Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 157 18 0 03 Jul 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust DecisionsInternational Conference on Machine Learning (ICML), 2023 Ezgi Korkmaz Jonah Brown-Cohen AAML 120 13 0 09 Jun 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 171 1 0 11 May 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time AttacksAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 151 11 0 27 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceNeural Networks (Neural Netw.), 2023 Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 323 24 0 07 Feb 2023
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning Niko A. Grupen M. Hanlon Alexis Hao Daniel D. Lee B. Selman 94 0 0 27 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2023 Ezgi Korkmaz 135 33 0 17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 178 6 0 11 Jan 2023
Robust Average-Reward Markov Decision ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2023 Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 196 20 0 02 Jan 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 238 7 0 22 Dec 2022
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey Ambra Demontis Srishti Gupta Christian Scano Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 284 4 0 12 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 407 31 0 06 Dec 2022
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility Lei Wang Hongyu Yang Yi Lin S. Yin Yuankai Wu 98 6 0 24 Nov 2022
Adversarial Cheap TalkInternational Conference on Machine Learning (ICML), 2022 Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 235 17 0 20 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations?Neural Information Processing Systems (NeurIPS), 2022 Li-Cheng Lan Huan Zhang Tai-Lin Wu Meng-Yu Tsai I-Chen Wu Cho-Jui Hsieh AAML 168 14 0 07 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive GamesAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Viet The Bui Tien Mai T. Nguyen AAML 274 6 0 30 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 151 62 0 12 Oct 2022
Bounded Robustness in Reinforcement Learning via Lexicographic ObjectivesConference on Learning for Dynamics & Control (L4DC), 2022 Daniel Jarne Ornia Licio Romao Lewis Hammond M. Mazo Alessandro Abate 132 0 0 30 Sep 2022