Computational FHE Circuit Privacy for Free

ePrint Report: Computational FHE Circuit Privacy for Free

Anamaria Costache, Lea Nürnberger, Tjerand Silde

Circuit privacy is an important notion in Fully Homomorphic
Encryption (FHE), well-illustrated by the Machine Learning-as-a-Service scenario. A scheme is circuit private (first defined in Gentry’s PhD Thesis) if an adversary cannot learn the circuit evaluated on a ciphertext from the computation result. In this work, we first show that the BGV
FHE scheme by Brakerski, Gentry and Peikert (ITCS’12) is computationally circuit private in a …

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