GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning

26 August 2020

Papers citing "GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning"

5 / 5 papers shown

Title
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices Han Zhang Zifan Wang Mihir Dhamankar Matt Fredrikson Yuvraj Agarwal 41 2 0 02 Jun 2024
Empowering Data Centers for Next Generation Trusted Computing Aritra Dhar Supraja Sridhara Shweta Shinde Srdjan Capkun Renzo Andri FedML GNN 32 5 0 01 Nov 2022
CrypTFlow2: Practical 2-Party Secure Inference Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 87 301 0 13 Oct 2020
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018