Computer Science > Machine Learning
[Submitted on 29 Feb 2024]
Title:Machine learning for modular multiplication
View PDF HTML (experimental)Abstract:Motivated by cryptographic applications, we investigate two machine learning approaches to modular multiplication: namely circular regression and a sequence-to-sequence transformer model. The limited success of both methods demonstrated in our results gives evidence for the hardness of tasks involving modular multiplication upon which cryptosystems are based.
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