Research LLM as a Judge: Evaluating Accuracy in LLM Security Scans
As large language models (LLMs) become more capable and widely adopted, the risk of unintended or adversarial outputs grows, especially within a security-sensitive context. To identify and mitigate such risks, Trend Micro researchers ran LLM security scans that simulate adversarial attacks.
Matthew Burton, Albert Shala, Anurag Das
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