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High Performance Logistic Regression for Privacy-Preserving Genome
  Analysis
v1v2 (latest)

High Performance Logistic Regression for Privacy-Preserving Genome Analysis

13 February 2020
Martine De Cock
Rafael Dowsley
Anderson C. A. Nascimento
Davis Railsback
Jianwei Shen
Ariel Todoki
ArXiv (abs)PDFHTML

Papers citing "High Performance Logistic Regression for Privacy-Preserving Genome Analysis"

12 / 12 papers shown
Title
Secure Multiparty Computation for Synthetic Data Generation from
  Distributed Data
Secure Multiparty Computation for Synthetic Data Generation from Distributed Data
Mayana Pereira
Sikha Pentyala
A. Nascimento
R. T. D. Sousa
Martine De Cock
44
6
0
13 Oct 2022
PrivFair: a Library for Privacy-Preserving Fairness Auditing
PrivFair: a Library for Privacy-Preserving Fairness Auditing
Sikha Pentyala
David Melanson
Martine De Cock
G. Farnadi
MLAU
60
6
0
08 Feb 2022
Training Differentially Private Models with Secure Multiparty Computation
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
78
15
0
05 Feb 2022
Report: State of the Art Solutions for Privacy Preserving Machine
  Learning in the Medical Context
Report: State of the Art Solutions for Privacy Preserving Machine Learning in the Medical Context
J. Zalonis
Frederik Armknecht
Björn Grohmann
Manuel Koch
79
4
0
27 Jan 2022
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
A. Wainakh
Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
74
9
0
05 Nov 2021
Privacy-Preserving Training of Tree Ensembles over Continuous Data
Privacy-Preserving Training of Tree Ensembles over Continuous Data
Samuel Adams
Chaitali Choudhary
Martine De Cock
Rafael Dowsley
David Melanson
Anderson C. A. Nascimento
Davis Railsback
Jianwei Shen
78
21
0
05 Jun 2021
Round and Communication Balanced Protocols for Oblivious Evaluation of
  Finite State Machines
Round and Communication Balanced Protocols for Oblivious Evaluation of Finite State Machines
Rafael Dowsley
Caleb Horst
Anderson C. A. Nascimento
46
0
0
20 Mar 2021
Fast Privacy-Preserving Text Classification based on Secure Multiparty
  Computation
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation
A. Resende
Davis Railsback
Rafael Dowsley
Anderson C. A. Nascimento
Diego F. Aranha
65
21
0
18 Jan 2021
Efficient Sparse Secure Aggregation for Federated Learning
Efficient Sparse Secure Aggregation for Federated Learning
C. Béguier
M. Andreux
Eric W. Tramel
FedML
67
16
0
29 Jul 2020
Private Speech Classification with Secure Multiparty Computation
Private Speech Classification with Secure Multiparty Computation
Kyle Bittner
Martine De Cock
Rafael Dowsley
55
1
0
01 Jul 2020
A Note on Our Submission to Track 4 of iDASH 2019
A Note on Our Submission to Track 4 of iDASH 2019
Marcel Keller
Ke Sun
50
1
0
24 Oct 2019
Privacy-Preserving Classification of Personal Text Messages with Secure
  Multi-Party Computation: An Application to Hate-Speech Detection
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection
Martine De Cock
Ariel Todoki
Rafael Dowsley
Devin Reich
Anderson C. A. Nascimento
88
45
0
05 Jun 2019
1