Explore the intersection of zero-knowledge proofs and machine learning in this 30-minute conference talk from ETHTaipei 2023, presented by Cathie from the Ethereum Foundation. Dive into the fundamentals of ZKML, examining its practical applications in biometric authentication and decentralized Kaggle competitions while addressing critical privacy considerations. Learn about current technical challenges, including model secrecy and folding, and discover emerging trends shaping the future of privacy-preserving AI solutions. Gain valuable insights through an interactive Q&A session that concludes this comprehensive exploration of ZKML's potential in revolutionizing secure, privacy-focused artificial intelligence applications.
Overview
Syllabus
Introduction
What is ZKML
Use Cases
Biometric Authentication
Decentralized Kaggle
Privacy
Challenges
Future Directions
Folding
Model secrecy
Questions
Taught by
ETHTaipei