SIMC 2.0: Improved Secure ML Inference Against Malicious Clients

11 July 2022

Papers citing "SIMC 2.0: Improved Secure ML Inference Against Malicious Clients"

9 / 9 papers shown

Title
Circa: Stochastic ReLUs for Private Deep Learning Zahra Ghodsi N. Jha Brandon Reagen S. Garg 54 34 0 15 Jun 2021
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou Lei Jiang 70 66 0 31 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 57 49 0 05 May 2021
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 128 314 0 13 Oct 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 33 155 0 01 Sep 2020
BLAZE: Blazing Fast Privacy-Preserving Machine Learning A. Patra Ajith Suresh 61 197 0 18 May 2020
Gazelle: A Low Latency Framework for Secure Neural Network Inference Chiraag Juvekar Vinod Vaikuntanathan A. Chandrakasan 60 893 0 16 Jan 2018
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014