most citedToward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2023★ 3 cited

Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption

Jaiyoung Park, Donghwan Kim, Jongmin Kim +4

Incorporating fully homomorphic encryption (FHE) into the inference process of a convolutional neural network (CNN) draws enormous attention as a viable approach for achieving priv…