arxiv
PublishedJuly 18, 2026 at 4:00 AM
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Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
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arXiv:2607.14921v1 Announce Type: cross Abstract: Machine learning models are increasingly adapted in various domains. However, adversarial examples pose a significant threat to the reliable deployment of these models. In recent years, some powerful adversarial example attacks have been proposed for
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