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CPU and GPU Accelerated Fully Homomorphic Encryption
2020 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
Fully Homomorphic Encryption (FHE) is one of the most promising technologies for privacy protection as it allows an arbitrary number of function computations over encrypted data. However, the computational cost of these FHE systems limits their widespread applications. In this thesis, our objective is to improve the performance of FHE schemes by designing efficient parallel frameworks. In particular, we choose Torus Fully Homomorphic Encryption (TFHE)  as it offers exact results for andoi:10.1109/host45689.2020.9300288 fatcat:txxmxctlxvazhg6gp4cifzxt54