EZKL zkML Implementation: ZK Proofs for Private Neural Network Inference
In an era where AI models devour vast troves of sensitive data, the promise of verifiable computation without exposure feels...
Michael Donovan
Michael Donovan brings 12 years of hybrid analysis expertise, blending fundamental insights with technical signals enhanced by zkML for confidential model training. A balanced portfolio manager, he advises on diversified assets including crypto and stocks, prioritizing medium-term trends. His zkmlai.org contributions include case studies on secure AI-driven portfolio optimization.
Warden Protocol SPEX for zkML Policy Enforcement in AI Apps
In the rapidly advancing world of zero-knowledge machine learning, or zkML, developers face a critical challenge: how to enforce policies...
