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1
Introduction
2
What is ZKML
3
Use Cases
4
Biometric Authentication
5
Decentralized Kaggle
6
Privacy
7
Challenges
8
Future Directions
9
Folding
10
Model secrecy
11
Questions
Description:
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.

Unraveling ZKML - Present Realities and Future Horizons in Privacy-Preserving AI

ETHTaipei
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