Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples
The vulnerability of artificial neural networks to adversarial perturbations in the black-box setting is widely studied in the literature. The majority of attack methods to construct these perturbations suffer from an impractically large number of queries required to find an adversarial example. In...
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Veröffentlicht in: | arXiv.org 2024-10 |
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Sprache: | eng |
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