Commit-and-Prove SNARKs Generalize Verifiable Computation for Machine Learning
A new Commit-and-Prove primitive enables efficient, black-box integration of homomorphic commitments into any SNARK, unlocking scalable verifiable AI.
Artemis SNARKs Efficiently Verify Cryptographic Commitments for Decentralized Machine Learning
Artemis, a new Commit-and-Prove SNARK, drastically cuts the commitment verification bottleneck, enabling practical, trustless zero-knowledge machine learning.
