Franois Charton
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126
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Crypto×1ML×1
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2026
Improving ML Attacks on LWE with Data Repetition and Stepwise Regression
This paper improves machine learning attacks against the Learning with Errors (LWE) problem by demonstrating that using larger, repeated datasets and a stepwise regression technique allows for the recovery of denser secrets.
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