Showing only posts tagged cryptanalysis. Show all posts.

Measuring LLMs’ Ability to Perform Cryptanalysis

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There’s new benchmark measuring AI’s ability to perform mathematical cryptanalysis. Anthropic’s frontier model actually found new attacks. The benchmark: “ CryptanalysisBench: Can LLMs do Cryptanalysis? ” The idea is to benchmark the ability of LLMs to discover new mathematical cryptanalytic attacks against a series of historical algorithms. Abstract …

New Cryptanalysis of the Fiat-Shamir Protocol

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A couple of months ago, a new paper demonstrated some new attacks against the Fiat-Shamir transformation. Quanta published a good article that explains the results. This is a pretty exciting paper from a theoretical perspective, but I don’t see it leading to any practical real-world cryptanalysis. The fact …

1965 Cryptanalysis Training Workbook Released by the NSA

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In the early 1960s, National Security Agency cryptanalyst and cryptanalysis instructor Lambros D. Callimahos coined the term “Stethoscope” to describe a diagnostic computer program used to unravel the internal structure of pre-computer ciphertexts. The term appears in the newly declassified September 1965 document Cryptanalytic Diagnosis with the Aid of …

The NSA’s “Fifty Years of Mathematical Cryptanalysis (1937–1987)”

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In response to a FOIA request, the NSA released “ Fifty Years of Mathematical Cryptanalysis (1937-1987),” by Glenn F. Stahly, with a lot of redactions. Weirdly, this is the second time the NSA has declassified the document. John Young got a copy in 2019. This one has a few less …

Improvements in Brute Force Attacks

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New paper: “ GPU Assisted Brute Force Cryptanalysis of GPRS, GSM, RFID, and TETRA: Brute Force Cryptanalysis of KASUMI, SPECK, and TEA3.” Abstract: Key lengths in symmetric cryptography are determined with respect to the brute force attacks with current technology. While nowadays at least 128-bit keys are recommended, there are …

Implementing Cryptography in AI Systems

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Interesting research: “ How to Securely Implement Cryptography in Deep Neural Networks.” Abstract: The wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input, to verify that this input is authorized, or …