Online Robust Policy Learning in the Presence of Unknown Adversaries

16 July 2018

Papers citing "Online Robust Policy Learning in the Presence of Unknown Adversaries"

8 / 8 papers shown

Title
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 36 0 0 15 Nov 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 42 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 46 2 0 10 Dec 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 74 45 0 16 Sep 2022
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning Tom Hickling Nabil Aouf P. Spencer AAML 17 50 0 06 Jun 2022
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 34 132 0 14 Feb 2021
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha S. Sarkar AAML 26 55 0 14 Jul 2020
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary S. Sarkar AAML 33 5 0 28 Jun 2019