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 language | English |
|---|---|
| Pages (from-to) | 42-47 |
| Number of pages | 6 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3419 |
| Publication status | Published - 2023 |
| Event | 22nd International Conference of the Italian Association for Artificial Intelligence, AIxIA DP 2022 - Udine, Italy Duration: Nov 28 2022 → Dec 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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