Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Authors: Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu | Published: 2020-03-27 | Updated: 2020-06-22
強化学習攻撃
WITCHcraft: Efficient PGD attacks with random step size
Authors: Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi | Published: 2019-11-18
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
Authors: Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei | Published: 2019-11-10 | Updated: 2020-10-29
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
Authors: João Ribeiro, Francisco S. Melo, João Dias | Published: 2019-09-22
Attacking Graph Convolutional Networks via Rewiring
Authors: Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang | Published: 2019-06-10 | Updated: 2019-09-28
Online Data Poisoning Attack
Authors: Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard | Published: 2019-03-05 | Updated: 2019-05-30
Design of intentional backdoors in sequential models
Authors: Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani | Published: 2019-02-26
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence
Authors: Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani | Published: 2019-02-25 | Updated: 2020-08-17