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Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic

Eshika Saxena, Alberto Alfarano, François Charton, Zeyuan Allen Zhu, Emily Wenger, Kristin E. Lauter. Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic. IACR Cryptology ePrint Archive, 2025:1525, 2025. [doi]

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