{"total":27,"rows":[{"id":"2210.05927","title":"Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning","created":"2022-10-12","cited_by_count":43,"area":null},{"id":"2209.08025","title":"Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2206.10057","title":"Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum","created":"2022-06-21","cited_by_count":15,"area":null},{"id":"2302.13851","title":"Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks","created":"2023-02-27","cited_by_count":14,"area":null},{"id":"2207.10170","title":"Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2312.00198","title":"Optimal Attack and Defense for Reinforcement Learning","created":"2023-11-30","cited_by_count":12,"area":null},{"id":"2212.09000","title":"Confidence-aware Training of Smoothed Classifiers for Certified Robustness","created":"2022-12-18","cited_by_count":9,"area":null},{"id":"2403.11348","title":"COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits","created":"2024-03-17","cited_by_count":9,"area":null},{"id":"2206.10158","title":"Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems","created":"2022-06-21","cited_by_count":7,"area":null},{"id":"2212.11746","title":"Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning","created":"2022-12-22","cited_by_count":7,"area":null},{"id":"2305.17342","title":"Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL","created":"2023-05-27","cited_by_count":7,"area":null},{"id":"2312.06436","title":"Reward Certification for Policy Smoothed Reinforcement Learning","created":"2023-12-11","cited_by_count":7,"area":null},{"id":"2312.08751","title":"Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\\infty$ Lipschitz Policy Networks","created":"2023-12-14","cited_by_count":7,"area":null},{"id":"2201.12440","title":"Certifying Model Accuracy under Distribution Shifts","created":"2022-01-28","cited_by_count":5,"area":null},{"id":"2403.07933","title":"Corruption-Robust Offline Two-Player Zero-Sum Markov Games","created":"2024-03-04","cited_by_count":4,"area":null},{"id":"2210.16940","title":"FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs","created":"2022-10-30","cited_by_count":3,"area":null},{"id":"2301.04299","title":"SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning","created":"2023-01-11","cited_by_count":3,"area":null},{"id":"2301.11374","title":"Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation","created":"2023-01-26","cited_by_count":3,"area":null},{"id":"2305.02605","title":"Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy","created":"2023-05-04","cited_by_count":3,"area":null},{"id":"2305.13936","title":"Robust Multi-agent Communication via Multi-view Message Certification","created":"2023-05-07","cited_by_count":3,"area":null},{"id":"2311.15165","title":"Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off","created":"2023-11-26","cited_by_count":2,"area":null},{"id":"2208.07464","title":"An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models","created":"2022-08-15","cited_by_count":1,"area":null},{"id":"2210.13235","title":"Chaos Theory and Adversarial Robustness","created":"2022-10-20","cited_by_count":1,"area":null},{"id":"2303.16308","title":"Provable Robustness for Streaming Models with a Sliding Window","created":"2023-03-28","cited_by_count":1,"area":null},{"id":"2409.00276","title":"Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks","created":"2024-08-30","cited_by_count":1,"area":null},{"id":"2212.14115","title":"Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2307.12062","title":"Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations","created":"2023-07-22","cited_by_count":0,"area":null}],"next_cursor":null}