Reinforcement Learning Inspired Black-box Adversarial Attacks for Computer Vision
Neural networks, both convolution or transformer based, are essential for modern computer vision systems. However, they are vulnerable to small perturbations, almost imperceptible to humans, which significantly alter the model's prediction. These adversarial attacks are often considered to be a significant threat to th...
F. Krone, Elena Hoemann, Sven Hallerbach
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