Paper Digest
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Recent Posts
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Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Published: at 11:09 AM
96.71 🤔This survey paper provides a comprehensive overview of adversarial attacks on multimodal AI systems across text, image, video, and audio modalities, categorizing threats by attacker knowledge, intention, and execution to equip practitioners with knowledge of vulnerabilities and cross-modal risks.
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Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
Published: at 12:17 AM 96.36 🤔本文提出了一种基于视觉-语言模型的定义引导提示技术和UnHateMeme框架，用于检测和缓解多模态模因中的仇恨内容，通过零样本和少样本提示实现高效检测，并生成非仇恨替代内容以保持图像-文本一致性，在实验中展现出显著效果。
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Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
Published: at 11:07 AM 94.57 🤔This paper proposes a three-dimensional taxonomy and develops TTP and HarmFormer tools to filter harmful content from web-scale LLM pretraining datasets, revealing significant toxicity prevalence and persistent safety gaps through benchmarks like HAVOC.