ZKML Research Papers

12 articles

zkML Limitations Exposed: Verifiable Inference Without Training Data Provenance in Decentralized AI

Picture this: decentralized AI where models churn out predictions, and you can verify them on-chain without peeking at the secret sauce. zkML sounds like the holy grail for privacy hawks in Web3, right? But let's rip off the band-aid. When...

Mar 31, 2026

Scalable zkML Inference with Targeted Verification: Proving Critical ML Computations On-Chain

In the intersection of blockchain and artificial intelligence, scalable zkML inference stands out as a pivotal innovation, enabling the verification of critical machine learning computations on-chain without sacrificing privacy or...

Mar 24, 2026