Investigating Vulnerabilities of Deep Neural Policies

30 August 2021

Papers citing "Investigating Vulnerabilities of Deep Neural Policies"

14 / 14 papers shown

Title
Éxplaining RL Decisions with Trajectories': A Reproducibility Study Karim Abdel Sadek Matteo Nulli Joan Velja Jort Vincenti 38 0 0 11 Nov 2024
Understanding and Diagnosing Deep Reinforcement Learning Ezgi Korkmaz 25 3 0 23 Jun 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 32 2 0 04 Jan 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 37 4 0 14 Dec 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach T. Sandholm Furong Huang Stephen Marcus McAleer OOD 37 0 0 22 Jul 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 6 9 0 09 Jun 2023
Explaining RL Decisions with Trajectories Shripad Deshmukh Arpan Dasgupta Balaji Krishnamurthy Nan Jiang Chirag Agarwal Georgios Theocharous J. Subramanian OffRL 23 3 0 06 May 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 19 26 0 17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 29 5 0 11 Jan 2023
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
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
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents Stephen Casper Taylor Killian Gabriel Kreiman Dylan Hadfield-Menell AAML 22 1 0 05 Sep 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz 11 25 0 16 Dec 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016