Optimized Privacy-Preserving CNN Inference With Fully Homomorphic Encryption-Reference-Cited by-同舟云学术

Optimized Privacy-Preserving CNN Inference With Fully Homomorphic Encryption

Author:

Kim Dongwoo¹^ORCID,Guyot Cyril²^ORCID

Affiliation:

1. College of AI Convergence, Dongguk University, Seoul, South Korea

2. Western Digital Research, Milpitas, CA, USA

Funder

Dongguk University Research Fund of 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

Reference49 articles.

2. Faster CryptoNets: Leveraging sparsity for real-world encrypted inference;chou;arXiv 1811 09953,2018

3. Gazelle: A low latency framework for secure neural network inference;juvekar;Proc 27th USENIX Secur Symp (USENIX Secur ),2018

5. CryptoDL: Towards deep learning over encrypted data;hesamifard;Proc Annu Comput Secur Appl Conf (ACSAC),2016

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