HEProfiler: An In-Depth Profiler of Approximate Homomorphic Encryption Libraries

ePrint Report: HEProfiler: An In-Depth Profiler of Approximate Homomorphic Encryption Libraries

Jonathan Takeshita, Nirajan Koirala, Colin McKechney, Taeho Jung

Fully Homomorphic Encryption (FHE) allows computation on encrypted
data. Various software libraries have implemented the approximate-
arithmetic FHE scheme CKKS, which is highly useful for applications
in machine learning and data analytics; each of these libraries have differing performance and features. It is useful for developers and researchers to learn details about these libraries’ performance and their differences. Some previous work …

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