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cs.LG2026
Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications
Maxwell Standen, Junae Kim, Claudia Szabo
Multi-agent systems rely on communication for information sharing and action coordination, which exposes a vulnerability to attacks. We investigate single-victim communication pert…
cs.LG2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen, Junae Kim, Claudia Szabo
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.…