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Policy Smoothing for Provably Robust Reinforcement Learning

21 June 2021

Papers citing "Policy Smoothing for Provably Robust Reinforcement Learning"

32 / 32 papers shown

Title
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 26 0 0 16 Jun 2025
Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks Haixiang Zhang Baturalp Yalcin Javad Lavaei Eduardo Sontag AAML 103 1 0 30 Aug 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents Chung-En Sun Sicun Gao Tsui-Wei Weng AAML 57 4 0 26 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 67 1 0 07 Jun 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Nicholas H. Barbara Ruigang Wang I. Manchester 112 4 0 19 May 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang Nezihe Merve Gürel Linyi Li Yue Liu 95 5 0 17 Mar 2024
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 88 4 0 19 Dec 2023
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales Dapeng Zhi Peixin Wang Cheng Chen Min Zhang 41 1 0 15 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 74 5 0 11 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 86 2 0 26 Nov 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 80 19 0 16 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing Yuxin Pan Yize Chen Fangzhen Lin OffRL 82 12 0 06 Oct 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 151 197 0 06 Sep 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach Tuomas Sandholm Furong Huang Stephen Marcus McAleer OOD 82 0 0 22 Jul 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 66 1 0 04 May 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 67 1 0 28 Mar 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
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 56 1 0 26 Jan 2023
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks Junlin Wu Hussein Sibai Yevgeniy Vorobeychik AAML 56 0 0 28 Dec 2022
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 111 5 0 22 Dec 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 65 15 0 27 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 48 50 0 12 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 169 47 0 16 Sep 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 53 2 0 15 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
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments JB Lanier Stephen Marcus McAleer Pierre Baldi Roy Fox 72 10 0 19 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang Soheil Feizi Sumitra Ganesh Furong Huang AAML 82 10 0 21 Jun 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi OOD 104 7 0 28 Jan 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 60 0 17 Jun 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 92 27 0 10 Feb 2021
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020