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cs.CR2024
Benchmarking Attacks on Learning with Errors
Emily Wenger, Eshika Saxena, Mohamed Malhou +2
Lattice cryptography schemes based on the learning with errors (LWE) hardness assumption have been standardized by NIST for use as post-quantum cryptosystems, and by HomomorphicEnc…
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.CR2023
SALSA PICANTE: a machine learning attack on LWE with binary secrets
Cathy Li, Jana Sotáková, Emily Wenger +4
Learning with Errors (LWE) is a hard math problem underpinning many proposed post-quantum cryptographic (PQC) systems. The only PQC Key Exchange Mechanism (KEM) standardized by NIS…