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

High Performance Logistic Regression for Privacy-Preserving Genome Analysis

BMC Medical Genomics (BMC Med Genomics), 2020
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
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
213
8
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
319
8
0
08 Feb 2022
Training Differentially Private Models with Secure Multiparty Computation
Training Differentially Private Models with Secure Multiparty ComputationIACR Cryptology ePrint Archive (IACR ePrint), 2022
Sikha Pentyala
Davis Railsback
Ricardo Maia
Rafael Dowsley
David Melanson
Anderson C. A. Nascimento
Martine De Cock
432
21
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
266
4
0
27 Jan 2022
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation SetupsItalian National Conference on Sensors (INS), 2021
A. Wainakh
Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
267
20
0
05 Nov 2021
Privacy-Preserving Training of Tree Ensembles over Continuous Data
Privacy-Preserving Training of Tree Ensembles over Continuous DataIACR Cryptology ePrint Archive (IACR ePrint), 2021
Samuel Adams
Chaitali Choudhary
Martine De Cock
Rafael Dowsley
David Melanson
Anderson C. A. Nascimento
Davis Railsback
Jianwei Shen
206
24
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 MachinesIACR Cryptology ePrint Archive (IACR ePrint), 2021
Rafael Dowsley
Caleb Horst
Anderson C. A. Nascimento
264
0
0
20 Mar 2021
Fast Privacy-Preserving Text Classification based on Secure Multiparty
  Computation
Fast Privacy-Preserving Text Classification based on Secure Multiparty ComputationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
A. Resende
Davis Railsback
Rafael Dowsley
Anderson C. A. Nascimento
Diego F. Aranha
272
23
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
204
19
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
288
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 2019IACR Cryptology ePrint Archive (IACR ePrint), 2019
Marcel Keller
Ke Sun
154
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 DetectionIACR Cryptology ePrint Archive (IACR ePrint), 2019
Martine De Cock
Ariel Todoki
Rafael Dowsley
Devin Reich
Anderson C. A. Nascimento
383
48
0
05 Jun 2019
1
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