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Comprehensive Textbook on Fully Homomorphic Encryption: Principles and Applications

By

Qision

8mo ago· 1 min readen

Summary

This is a comprehensive textbook on Fully Homomorphic Encryption (FHE), a cryptographic technique that enables computations on encrypted data without decryption. The book covers FHE fundamentals including basic operations (addition, multiplication) and complex functions (logic gates, mathematical functions), with applications in privacy-preserving machine learning, confidential blockchain services, secure data analytics, and encrypted database queries. It's presented as an open collaborative project inviting FHE experts to contribute.

Key quotes

· 5 pulled
Fully Homomorphic Encryption (FHE) is a cryptographic scheme that enables computations to be performed directly on encrypted data, as if the data were in plaintext.
FHE enables privacy-preserving machine learning by allowing a server to process the client's data in its encrypted form through an ML model.
With FHE, the server learns neither the plaintext version of the input features nor the inference results.
FHE can also be applied to confidential blockchain services, ensuring that sensitive data in smart contracts remains encrypted and confidential.
As this book is an open project, we welcome FHE experts to join us as collaborators to help expand the draft.
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Fully Homomorphic Encryption (FHE) is a cryptographic scheme that enables computations to be performed directly on encrypted data, as if the data were in plaintext. After all computations are performed on the encrypted data, it can be decrypted to reveal

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