SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning (MARL) is vulnerable to Adversarial Machine Learning (AML) attacks and needs adequate defences before it can be used in real world applications. We have conducted a survey into the use of execution-time AML attacks against MARL and the defences against those attack...

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Veröffentlicht in:	arXiv.org 2023-01
Hauptverfasser:	Standen, Maxwell, Kim, Junae, Szabo, Claudia
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Machine learning Multiagent systems
Online-Zugang:	Volltext
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