Browse PQC-verified AI models, datasets, and tools
Merkle-tree commitments for AI training datasets using SHA3-256 + ML-DSA. Prove what a model was trained on without revealing the data. Inclusion proofs are O(log n) and publicly verifiable. Survives the quantum transition for the 15-20 year shelf life of training data. 29 tests passing.