Current trends in AI-Aided Cryptography

Tobias Höbbel; Sebastian Kavalir; Gero Knoblauch; Alexander Wiesmaier

Paper 2026/1006

Current trends in AI-Aided Cryptography

Tobias Höbbel, Sopras Steria SE

Sebastian Kavalir, Sopras Steria SE

Gero Knoblauch

, Darmstadt University of Applied Sciences

Alexander Wiesmaier

, Darmstadt University of Applied Sciences

Abstract

Research at the intersection of artificial intelligence (AI) and cryptography is expanding, but existing surveys often focus on specific techniques or provide only high-level overviews without cross-domain comparison. This paper presents a trend analysis across major subfields of AI-aided cryptography. We review 90 publications from 2021–2025 and complement them with call for papers from journals, conferences, and public tenders. The results show uneven coverage: cryptanalysis and hashing dominate, while protocols, encryption, and post-quantum cryptography are less explored. We outline emerging gaps and likely growth areas to support future research prioritization.

Metadata

Available format(s): PDF
Category: Attacks and cryptanalysis
Publication info: Preprint.
Keywords: AI-aided Cryptography Machine Learning for Cryptography AI-aided Cryptanalysis
Contact author(s): tobias hoebbel2 @ soprasteria com
sebastian kavalir @ soprasteria com
gero knoblauch @ h-da de
alexander wiesmaier @ h-da de
History: 2026-05-20: approved; 2026-05-20: received; See all versions
Short URL: https://ia.cr/2026/1006
License: CC BY

BibTeX

@misc{cryptoeprint:2026/1006,
      author = {Tobias Höbbel and Sebastian Kavalir and Gero Knoblauch and Alexander Wiesmaier},
      title = {Current trends in {AI}-Aided Cryptography},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/1006},
      year = {2026},
      url = {https://eprint.iacr.org/2026/1006}
}