Reinforcement Learning Attack

Adaptive Reward-Poisoning Attacks against Reinforcement Learning

Authors: Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu | Published: 2020-03-27 | Updated: 2020-06-22
Q-Learning Algorithm
Backdoor Attack
Reinforcement Learning Attack
2020.03.27 2025.05.28
Literature Database

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
Convergence Analysis
Reinforcement Learning Attack
Adversarial Attack Methods
2019.11.18 2025.05.28
Literature Database

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
Reinforcement Learning Algorithm
Reinforcement Learning Attack
Adversarial attack
2019.11.10 2025.05.28
Literature Database

Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning

Authors: João Ribeiro, Francisco S. Melo, João Dias | Published: 2019-09-22
Reinforcement Learning Attack
Machine Learning Application
Machine Learning Technology
2019.09.22 2025.05.28
Literature Database

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
Reinforcement Learning Attack
Adversarial Learning
Deep Reinforcement Learning
2019.06.10 2025.05.28
Literature Database

Online Data Poisoning Attack

Authors: Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard | Published: 2019-03-05 | Updated: 2019-05-30
Poisoning
Reinforcement Learning Attack
Optimization Problem
2019.03.05 2025.05.28
Literature Database

Design of intentional backdoors in sequential models

Authors: Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani | Published: 2019-02-26
Backdoor Attack
Reinforcement Learning Attack
Adversarial Learning
2019.02.26 2025.05.28
Literature Database

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
Backdoor Attack
Reinforcement Learning Attack
Adversarial Learning
2019.02.25 2025.05.28
Literature Database