A switching gradient-based algorithm jointly optimizes a backdoor policy and finite-memory observation-based trigger for stealthy attacks in MDPs under partial observations.
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
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Planning Stealthy Backdoor Attacks in MDPs with Observation-Based Triggers
A switching gradient-based algorithm jointly optimizes a backdoor policy and finite-memory observation-based trigger for stealthy attacks in MDPs under partial observations.