Stealthy and efficient adversarial attacks against deep reinforcement learning

• Main Authors: SUN, Jianwen, ZHANG, Tianwei, XIE, Xiaofei, MA, Lei, ZHENG, Yan, CHEN, Kangjie, LIU, Yang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7116; https://ink.library.smu.edu.sg/context/sis_research/article/8119/viewcontent/6047_Article_Text_9272_1_10_20200513.pdf
• Institution: Singapore Management University

Adversarial attacks against conventional Deep Learning (DL) systems and algorithms have been widely studied, and various defenses were proposed. However, the possibility and feasibility of such attacks against Deep Reinforcement Learning (DRL) are less explored. As DRL has achieved great success in...