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News/CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation
arxiv
PublishedJuly 31, 2026 at 4:00 AM
—neutral

CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation

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Publisher summary· verbatim

arXiv:2507.05113v3 Announce Type: replace-cross Abstract: Deep Neural Networks (DNNs) are susceptible to backdoor attacks, where adversaries poison training data to implant backdoor into the victim model. Current backdoor defenses on poisoned data often suffer from high computational costs or low ef

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