Cryptographer Uses AI to Measure Global Cryptanalytic Effort Across 16,000 Papers

Johns Hopkins cryptographer Matthew Green used AI to analyze roughly 16,000 papers and quantify global cryptanalytic effort, finding symmetric cryptanalysis has consumed about 6,677 research-years—6.4 times all lattice cryptography research. He also launched a website comparing human cryptanalysis costs against token costs, while noting colleagues' skepticism that AI firms fund such work mainly for PR.

2026-10-11 ~ 2026-10-13 · 4 related posts

• Symmetric cryptanalysis took 6,677 research-years, 6.4x all lattice work combined — matthew_d_green · 2026-10-11
• Matthew Green uses AI to mine 16,000 papers and quantify global cryptanalytic effort — matthew_d_green · 2026-10-13
• Cryptographer Matthew Green's site estimates cryptanalysis work vs LLM token costs — matthew_d_green · 2026-10-13
• Cryptographer: AI Firms Throw Money at Cryptanalysis for PR Wins — matthew_d_green · 2026-10-13