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A High-Level Technical Overview of Fully Homomorphic Encryption

About two years ago, I switched teams at Google to focus on fully homomorphic encryption (abbreviated FHE, or sometimes HE). Since then I’ve got to work on a lot of interesting projects, learning along the way about post-quantum cryptography, compiler design, and the ins and outs of fully homomorphic encryption.
If you’ve heard about FHE and you’re a software person, you’ve probably heard two things: it lets you run programs directly on encrypted data without ever decrypting it; and it’s still too slow to be useful for anything. ....

Finn Plummer , Jeffrey Sorensen , Jean Philippe Bossuat , Daniel Lowengrub , Marc Joye , Homomorphic Encryption Standardization Consortium , Learning With Errors , Ring Learning With Errors , Chinese Remainder Theorem , Beyond Schemes , Fourier Transform , Fully Homomorphic Encryption , Jonathan Schneider , Seonhong Min , Johannes Mono , Fully Homomorphic Encryption , Linear Algebra ,