BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
Backdoor attacks in reinforcement learning (RL) have previously employed intense attack strategies to ensure attack success. However, these methods suffer from high attack costs and increased detectability. In this work, we propose a novel approach, BadRL, which focuses on conducting highly sparse backdoor poisoning efforts during training and testing while …