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Improving Transferability of Adversarial Examples with Mixed-Representation Attack

2025-09-12

Abstract excerpt

<title>Abstract</title> <p> Although deep neural networks (DNNs) have achieved remarkable performance in the image classification task, they remain highly vulnerable to adversarial examples, which are crafted by adding human-imperceptible perturbations to benign samples. An important aspect is their transferability, which refers to the ability to deceive target black-box models, enabling attacks in the black-box...

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Literature Corpus work: 906a3f65-55ea-578a-aa48-4c3f3ea233eb
DOI: 10.21203/rs.3.rs-7544991/v1

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