most citedSalsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors

2 citations · 2 across the 2 of their papers we have counts for

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cs.CR2024

The cool and the cruel: separating hard parts of LWE secrets

Niklas Nolte, Mohamed Malhou, Emily Wenger +4

Sparse binary LWE secrets are under consideration for standardization for Homomorphic Encryption and its applications to private computation. Known attacks on sparse binary LWE sec…

cs.CR2024★ 2 cited

Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors

Samuel Stevens, Emily Wenger, Cathy Li +4

Learning with Errors (LWE) is a hard math problem underlying recently standardized post-quantum cryptography (PQC) systems for key exchange and digital signatures. Prior work propo…