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FreqDoor: A Hidden Trojan in the Frequency Domain for Backdoor Attacks on Vision-Language Models
Vision-language models (VLMs) have recently shown excellent progress in open-ended image-to-text generation. However, their multimodal nature makes them persistently vulnerable to backdoor attacks. Existing backdoor triggers for VLMs are either spatial, textual, or bimodal, which may yield localized
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