SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

20 May 2020

Ajith Suresh

Papers citing "SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning"

8 / 8 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
Characterization of Secure Multiparty Computation Without Broadcast Ran Cohen Iftach Haitner Eran Omri Lior Rotem 36 21 0 03 May 2021
BLAZE: Blazing Fast Privacy-Preserving Machine Learning A. Patra Ajith Suresh 43 194 0 18 May 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 50 300 0 05 Apr 2020
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning Harsh Chaudhari Rahul Rachuri Ajith Suresh 39 212 0 05 Dec 2019
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 26 492 0 10 Jan 2018
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 954 99,991 0 04 Sep 2014