A single poisoned agent, triggered by a spatiotemporal movement pattern and trained with a hacked reward, can drive a whole cooperative multi-agent team to failure while keeping clean performance nearly unchanged.
Efficient twin migration in vehicular metaverses: Multi- agent split deep reinforcement learning with spatio-temporal trajectory generation,
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BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems
A single poisoned agent, triggered by a spatiotemporal movement pattern and trained with a hacked reward, can drive a whole cooperative multi-agent team to failure while keeping clean performance nearly unchanged.