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Can you train AI to invert AES?

Discusses the possibility of training AI to invert AES by treating it as a satisfiability problem, exploring both opaque and lowered circuit encodings, and considering complexity theory constraints like average-case hardness and phase transitions.

SourceHacker News AIAuthor: juansebastianl
Can you train AI to invert AES?
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • AES inversion is both dangerous and valuable; AI might solve it.
  • AES can be formulated as a satisfiability problem, but SAT is NP-hard.
  • Two encodings: opaque (black box) and lowered (intermediate wires for local structure).
  • Phase transitions in SAT suggest AES may lie in the hard middle region.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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