Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
–Neural Information Processing Systems
Cryptographic problems, operating within binary variable spaces, can be routinely transformed into Boolean Satisfiability (SAT) problems regarding specific cryptographic conditions like plaintext-ciphertext matching.
Neural Information Processing Systems
Mar-20-2026, 07:11:31 GMT
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