Reinforcement Learning Inspired Black-box Adversarial Attacks for Computer Vision
This work proposes a novel approach under the more realistic black-box threat model that utilizes concepts from reinforcement learning to optimize perturbations with a non-differentiable target model, and shows the success of reinforcement learning inspired black-box adversarial attack (RIBA) in generating adversarial...
F. Krone, Elena Hoemann, Sven Hallerbach
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