Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2110.11578
Cited By
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
22 October 2021
Xiaolan Gu
Ming Li
Lishuang Xiong
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy"
4 / 4 papers shown
Title
Training Differentially Private Models with Secure Multiparty Computation
Sikha Pentyala
Davis Railsback
Ricardo Maia
Rafael Dowsley
David Melanson
Anderson C. A. Nascimento
Martine De Cock
21
14
0
05 Feb 2022
Secure Byzantine-Robust Distributed Learning via Clustering
R. K. Velicheti
Derek Xia
Oluwasanmi Koyejo
FedML
OOD
70
19
0
06 Oct 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
91
278
0
02 Oct 2017
1