AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference

7 June 2020

Papers citing "AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference"

5 / 5 papers shown

Title
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption Moran Baruch Nir Drucker Gilad Ezov Yoav Goldberg Eyal Kushnir Jenny Lerner Omri Soceanu Itamar Zimerman 49 6 0 26 Apr 2023
Primer: Fast Private Transformer Inference on Encrypted Data Mengxin Zheng Qian Lou Lei Jiang 25 30 0 23 Mar 2023
vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash Qian Lou M. Santriaji Ardhi Wiratama Baskara Yudha Jiaqi Xue Yan Solihin FedML 20 9 0 15 Mar 2023
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 33 3 0 04 Nov 2021
Efficient privacy-preserving inference for convolutional neural networks Han Xuanyuan Francisco Vargas Stephen Cummins 11 0 0 15 Oct 2021