Computer vision guide adversarial example
Adversarial examples in computer vision Inputs that look normal to a human but cause the neural network to confidently make incorrect predictions. What started as small gradient-based pixel tweaks has expanded to include physically feasible attacks (patches, textures, camouflage) and latent space manipulations targeting internal representations. By early 2026, research was increasingly focused on vision […]
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