Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning

5 December 2019

Harsh Chaudhari

Ajith Suresh

Papers citing "Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning"

5 / 5 papers shown

Title
Privacy-Preserving Epidemiological Modeling on Mobile Graphs Daniel Gunther Marco Holz B. Judkewitz Helen Mollering Benny Pinkas T. Schneider Ajith Suresh 45 4 0 01 Jun 2022
Tetrad: Actively Secure 4PC for Secure Training and Inference Nishat Koti A. Patra Rahul Rachuri Ajith Suresh 25 71 0 05 Jun 2021
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction Harsh Chaudhari Ashish Choudhury A. Patra Ajith Suresh 30 128 0 05 Dec 2019
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications M. Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori T. Schneider F. Koushanfar FedML 33 492 0 10 Jan 2018
Fast and accurate classification of echocardiograms using deep learning Ali Madani R. Arnaout M. Mofrad Rima Arnaout 42 24 0 27 Jun 2017