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LLMs can both combat misinformation and generate it, revealing a paradox that demands urgent research attention.
CI-Diff successfully decouples unusual attributes from common associations, enabling accurate image synthesis for rare concepts that previous models struggled to render.
Attackers can exploit dynamic malicious skills to inject harmful logic into agentic AI, posing a serious threat to operational integrity.
Vision foundation models are surprisingly brittle: common image edits can drastically alter their embeddings and tank downstream performance.