
Blind Computation for Web3 with Miguel de Vega | DWeb Decoded
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Advancing Privacy in AI: The Role of Blind Computation
This chapter explores the concept of blind computation and its significance for personalized AI in the Web3 landscape, emphasizing the importance of privacy amidst evolving AI technologies. It discusses a taxonomy of data sensitivity and innovative approaches like fully homomorphic encryption and multi-party computation to maintain user privacy while enhancing application capabilities. The chapter also highlights a sophisticated orchestration layer designed to integrate various privacy-enhancing technologies, making it easier for developers to create secure, user-friendly applications.
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