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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.
Finally, a defense against model extraction comes with rigorous theoretical guarantees, using mutual information to certify DNN ownership.