Understanding Adversarial Attacks on Observations in Deep Reinforcement
Learning

Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning

30 June 2021

Hang Su

Jun Zhu

Papers citing "Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning"

4 / 4 papers shown

Title
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
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation Chengyang Ying You Qiaoben Xinning Zhou Hang Su Wenbo Ding Jianyong Ai AAML 21 11 0 12 Jun 2022
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 64 162 0 21 Jan 2021
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 69 65 0 08 Mar 2020