Unveiling Multi-Attacks in Image Classification: How One Adversarial Perturbation Can Mislead Hundreds of Images

Adversarial attacks in image classification, a critical issue in AI security, involve subtle changes to images that mislead AI models into incorrect classifications. The research delves into the intricacies of these attacks, particularly focusing on multi-attacks, where a single alteration can simultaneously affect multiple images’ classifications. This phenomenon is not just a theoretical concern but […]

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