A Tensor Compiler for Simple and EfficientFully Homomorphic Encryption
Fully Homomorphic Encryption (FHE) enables computing on encrypted data, letting clients securely offload computation to untrusted servers. Though FHE is slow on CPUs, hardware acceleration enables large FHE programs, like deep neural networks. Unfortunately, FHE is extremely hard to program: transla...
Main Author: | Krastev, Aleksandar |
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Other Authors: | Sanchez, Daniel |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
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Online Access: | https://hdl.handle.net/1721.1/151531 |
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