Results 101 to 110 of about 938 (179)

Efficient and secure multi-party computation protocol supporting deep learning

Cybersecurity
Privacy-preserving deep learning based on secure multi-party computation (MPC) has emerged as a critical research focus in recent years. While existing approaches predominantly employ additive secret sharing with a fixed number of parties, they have yet ...
Shancheng Zhang, Gang Qu, Zongyang Zhang, Minzhe Huang, Haochun Jin, Liqun Yang   +5 more
doaj   +1 more source

Introduction to secret sharing based secure multiparty computation in health data. [PDF]

BMJ Open
Kerr S, Escudero D.
europepmc   +1 more source

Secure federated transfer learning with enhanced secure multiparty computation for privacy preserving smart EHR systems. [PDF]

Sci Rep
Kim TH, Bhat CR, Yimer TE.
europepmc   +1 more source

Enabling health data analyses across multiple private datasets with no information sharing using secure multiparty computation. [PDF]

BMJ Health Care Inform
Kerr S, Robertson C, Sudlow C, Sheikh A.
europepmc   +1 more source

Secure multiparty computation protocol based on homomorphic encryption and its application in blockchain. [PDF]

Heliyon
Bao H, Yuan M, Deng H, Xu J, Zhao Y.
europepmc   +1 more source

Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. [PDF]

NPJ Digit Med
Ballhausen H, Corradini S, Belka C, Bogdanov D, Boldrini L, Bono F, Goelz C, Landry G, Panza G, Parodi K, Talviste R, Tran HE, Gambacorta MA, Marschner S.   +13 more
europepmc   +1 more source

Secure Byzantine resilient federated learning based on multi-party computation

Tongxin xuebao
To address issues such as gradient privacy protection, server inference attacks, and low accuracy caused by client data poisoning in federated learning, a secure Byzantine resilient federated learning scheme based on multi-party computation was proposed,
GAO Hongfeng, HUANG Hao, TIAN Youliang
doaj  

A blockchain-enabled framework for secure and efficient data transmission in underwater sensor networks using advanced cryptographic techniques. [PDF]

Sci Rep
Kumar KK, Pavani M, Chandra NS, Chitralingappa P, Kumar BH, Anushree G.   +5 more
europepmc   +1 more source

MHBDS: Healthcare blockchain data sharing scheme based on SMPC and TRP-PBFT. [PDF]

Sci Prog
Zhang L, Luo J, Hao Z, Yang Q.
europepmc   +1 more source

Secure distributed multiple imputation enables missing data inference for private data proprietors. [PDF]

NPJ Digit Med
Smajlović H, Lian Y, Long Q, Numanagić I, Jiang X.   +4 more
europepmc   +1 more source