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Researchers use overlap gap structure as a criterion for hardness in collision finding, proposing neural-network-based candidate hash functions. The results rev
Quantum News • 2026-06-05 14:07 UTC • By Billy Odell Tucker-Robinson
Researchers use overlap gap structure as a criterion for hardness in collision finding, proposing neural-network-based candidate hash functions. The results reveal new forms of computational hardness in large neural networks.
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