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Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
5 December 2019
Harsh Chaudhari
Rahul Rachuri
Ajith Suresh
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Papers citing
"Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning"
6 / 56 papers shown
Title
Scalable Privacy-Preserving Distributed Learning
D. Froelicher
J. Troncoso-Pastoriza
Apostolos Pyrgelis
Sinem Sav
João Sá Sousa
Jean-Philippe Bossuat
Jean-Pierre Hubaux
FedML
84
70
0
19 May 2020
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
A. Patra
Ajith Suresh
75
200
0
18 May 2020
Large-Scale Secure XGB for Vertical Federated Learning
Wenjing Fang
Derun Zhao
Jin Tan
Chaochao Chen
Chaofan Yu
L. xilinx Wang
Lei Wang
Jun Zhou
Benyu Zhang
FedML
88
56
0
18 May 2020
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
116
139
0
25 Apr 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh
Shruti Tople
Fabrice Benhamouda
E. Kushilevitz
Prateek Mittal
T. Rabin
FedML
92
303
0
05 Apr 2020
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
156
244
0
16 Sep 2019
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