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P RO A CT represents an orthogonal defense strategy that serves as an additional guardrail to enhance LLM safety against the most effective attacks.
This paper introduces CryptanalysisBench, 191 tasks across six families of cryptographic primitives drawn primarily from four NIST standardization competitions, and releases CryptanalysisBench as a tool to help track if (or when) AI cryptanalysis becomes a serious factor and as a scaffold for stress-testing candidate s...
Improvements are presented that reduce the time required to calculate the invert-then-affine-transform structure of the AES S-box and reduce the number of key guesses required, something that was particularly important because these improvements were discovered autonomously via a large language model fully end to end.
GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs, is introduced, a scalable self-play algorithm where the model is tasked with attacking a diverse population of simultaneously-trained defender agents.
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