SALSA: Attacking Lattice Cryptography with Transformers

• URL: http://arxiv.org/abs/2207.04785v2
• Date: Fri, 21 Apr 2023 22:03:01 GMT
• Title: SALSA: Attacking Lattice Cryptography with Transformers
• Authors: Emily Wenger, Mingjie Chen, Fran\c{c}ois Charton, Kristin Lauter
• Abstract summary: We propose SALSA: a machine learning attack on LWE-based cryptographic schemes. SALSA can fully recover secrets for small-to-mid size LWE instances with sparse binary secrets, and may scale to attack real-world LWE-based cryptosystems.
• Score: 6.229340901386596
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Currently deployed public-key cryptosystems will be vulnerable to attacks by full-scale quantum computers. Consequently, "quantum resistant" cryptosystems are in high demand, and lattice-based cryptosystems, based on a hard problem known as Learning With Errors (LWE), have emerged as strong contenders for standardization. In this work, we train transformers to perform modular arithmetic and combine half-trained models with statistical cryptanalysis techniques to propose SALSA: a machine learning attack on LWE-based cryptographic schemes. SALSA can fully recover secrets for small-to-mid size LWE instances with sparse binary secrets, and may scale to attack real-world LWE-based cryptosystems.

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