Adversarial Policies: Attacking Deep Reinforcement Learning

25 May 2019

Adam Gleave

Papers citing "Adversarial Policies: Attacking Deep Reinforcement Learning"

50 / 51 papers shown

Title
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents Christian Schroeder de Witt AAML AI4CE 111 0 0 04 May 2025
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies Basavasagar Patil Akansha Kalra Guanhong Tao Daniel S. Brown AAML 74 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 41 0 0 28 Jan 2025
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates F. Akkerman Nils Knofius Matthieu van der Heijden M. Mes 13 1 0 04 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 63 2 0 29 Sep 2024
Preserving the Privacy of Reward Functions in MDPs through Deception Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri 27 0 0 13 Jul 2024
The Benefits of Power Regularization in Cooperative Reinforcement Learning Michelle Li Michael Dennis 21 3 0 17 Jun 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 19 1 0 02 May 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 30 0 0 22 Apr 2024
Evaluating Language Model Agency through Negotiations Tim R. Davidson V. Veselovsky Martin Josifoski Maxime Peyrard Antoine Bosselut Michal Kosinski Robert West LLMAG 29 22 0 09 Jan 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 70 0 0 20 Dec 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 13 2 0 26 Sep 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula Lijun Sun Yu-Cheng Chang Chao Lyu Chin-Teng Lin Yuhui Shi 31 1 0 27 Jul 2023
Overload: Latency Attacks on Object Detection for Edge Devices Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee AAML 33 12 0 11 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan S. Feizi OOD AAML AI4TS 11 1 0 28 Mar 2023
Machine Love Joel Lehman 8 5 0 18 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 19 0 0 27 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 27 5 0 11 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 29 4 0 12 Dec 2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 38 2 0 10 Dec 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 16 17 0 20 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? Li-Cheng Lan Huan Zhang Ti-Rong Wu Meng-Yu Tsai I-Chen Wu Cho-Jui Hsieh AAML 19 10 0 07 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games Viet The Bui Tien Mai T. Nguyen AAML 25 5 0 30 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 35 4 0 19 Oct 2022
Observed Adversaries in Deep Reinforcement Learning Eugene Lim Harold Soh AAML 14 0 0 13 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 20 47 0 12 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
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 84 27 0 14 Sep 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 14 3 0 07 Aug 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 21 10 0 21 Jun 2022
X-Risk Analysis for AI Research Dan Hendrycks Mantas Mazeika 19 67 0 13 Jun 2022
A General, Evolution-Inspired Reward Function for Social Robotics Thomas Kingsford 8 0 0 01 Feb 2022
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 15 11 0 10 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 11 4 0 02 Dec 2021
A study of first-passage time minimization via Q-learning in heated gridworlds M. A. Larchenko Pavel Osinenko Grigory Yaremenko V. V. Palyulin 6 3 0 05 Oct 2021
Neural Network Verification in Control M. Everett AAML 27 16 0 30 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 31 18 0 14 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 27 3 0 08 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 22 235 0 01 Aug 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 14 5 0 09 Jul 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang Yuhong Guo 14 23 0 29 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine S. Feizi AAML 10 54 0 21 Jun 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 29 131 0 14 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 59 162 0 21 Jan 2021
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 31 92 0 05 Aug 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 12 79 0 04 Aug 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 11 41 0 11 Apr 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles Songan Zhang H. Peng S. Nageshrao E. Tseng AAML 17 5 0 18 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 66 26 0 09 Mar 2020
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 67 65 0 08 Mar 2020