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Hardness of Learning AES Key

  • Nazarbayev University

Research output: Contribution to journalConference articlepeer-review

Abstract

We show hardness of learning AES key from pairs of ciphertexts under the assumption of computational closeness of AES to pairwise independence. The latter is motivated by the recent result of Liu et al. [1].

Original languageEnglish
Pages (from-to)42-47
Number of pages6
JournalCEUR Workshop Proceedings
Volume3419
Publication statusPublished - 2023
Event22nd International Conference of the Italian Association for Artificial Intelligence, AIxIA DP 2022 - Udine, Italy
Duration: Nov 28 2022Dec 2 2022

Funding

This work was supported by the Program of Targeted Funding “Economy of the Future” #0054/ПЦФ-НС-19.

Keywords

  • AES
  • Computational Hardness
  • Machine Learning

ASJC Scopus subject areas

  • General Computer Science

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