Users are optimistic about CryptanalysisBench because it provides a realistic benchmark that makes measurable progress in AI cryptanalysis possible while remaining far from breaking production schemes.
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work led by @LukasFluri_ and @AvitalShafran who tirelessly hardened our eval against exploits Huge thanks to Nicholas, Milad & Matthew for testing Anthropic models and to @CryptoOrrDun & @eyalr0 for actually knowing cryptanalysis https://arxiv.org/abs/2607.18538 https://cryptanalysis-bench.com/
Personally, this brings my research full circle. I started research at EPFL in 2015 doing cryptanalysis with Serge Vaudenay, knowing almost nothing about AI. A decade later, I know a lot more about AI. But frontier AI can now do more cryptanalysis than I ever could.
AI is advancing fast in math and cyber. Cryptanalysis sits at their intersection and underpins our digital security. So can LLMs do cryptanalysis? Increasingly, yes! Introducing CryptanalysisBench where we test if AI can break 191 real schemes from past standardization efforts
Users are optimistic about CryptanalysisBench because it provides a realistic benchmark that makes measurable progress in AI cryptanalysis possible while remaining far from breaking production schemes.
Based on 3 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.