AI and Machine Learning Applied to Decrypting Medieval Ciphers
By
Bruce Schneier
Master baker tier. Every paragraph earns its place on the tray.
Summary
Bruce Schneier's blog post discusses the use of AI and machine learning algorithms to decrypt historical medieval ciphers (pencil-and-paper ciphers). The article appears to be a brief entry on Schneier's personal security blog, linking to related topics about encryption, AI security, and vulnerability disclosure.
Key quotes
· 3 pulledI am a public-interest technologist, working at the intersection of security, technology, and people.
I've been writing about security issues on my blog since 2004, and in my monthly newsletter since 1998.
This personal website expresses the opinions of none of those organizations.
You might also wanna read
Bruce Schneier: AI and the scaling of betrayal
The surprising structural similarities between neural networks and cryptographic ciphers
This article explores the structural and algorithmic similarities between neural network architectures (like recurrent neural networks) and
Reiner’s webpage and articles.·1mo agoCryptographers Held an Election. They Can't Decrypt the Results
Research on Covert Communication Between AI Agents Using Pseudorandom Noise-Resilient Key Exchange
This research paper explores whether AI agents operated by different entities can conduct covert conversations that remain undetectable to a
arxiv.org·1mo ago
Decrypted Generative Model Safety Files for Apple Intelligence
The article discusses decrypted generative model safety files for Apple Intelligence and provides information on retrieving the encryption k
github.com·11mo ago