Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning

Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning

While significant research advances have been made in the field of deep reinforcement learning, there have been no concrete adversarial attack strategies in literature tailored for studying the vulnerability of deep reinforcement learning algorithms to membership inference attacks. In such attacking...

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Bibliographic Details
Main Authors: Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Adversarial attack
deep reinforcement learning
membership inference attack
privacy
Online Access:https://ieeexplore.ieee.org/document/10108924/

Internet

https://ieeexplore.ieee.org/document/10108924/

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