Home /Research /Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses
LEARNING

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses

Buse G. A. Tekgul, Shelly Wang, Samuel Marchal, N. Asokan

Year
2022
Citations
7

Keywords

Adversarial systemComputer scienceReinforcement learningArtificial intelligenceComputer security

Related papers

Browse all LEARNING papers