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News/MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
arxiv
PublishedJune 15, 2026 at 4:00 AM
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MirrorCheck: Efficient Adversarial Defense for Vision-Language Models

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arXiv:2406.09250v5 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) are increasingly susceptible to sophisticated adversarial attacks, including adaptive strategies specifically designed to bypass existing defenses. To address this vulnerability, we propose MirrorCheck, a robust

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