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PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party
  Setting

PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting

19 February 2021
Ismat Jarin
Birhanu Eshete
ArXiv (abs)PDFHTML

Papers citing "PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting"

6 / 6 papers shown
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative
  Inference Framework for Deep Learning Classification Tasks
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification TasksIEEE Transactions on Mobile Computing (IEEE TMC), 2023
Jingyi Li
Guocheng Liao
Lin Chen
Xu Chen
264
17
0
06 Sep 2023
Privacy-preserving machine learning for healthcare: open challenges and
  future perspectives
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares
L. J. L. Lopez
Michail Maniatakos
Farah E. Shamout
200
23
0
27 Mar 2023
Attribute Inference Attacks in Online Multiplayer Video Games: a Case
  Study on Dota2
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2Conference on Data and Application Security and Privacy (CODASPY), 2022
Pier Paolo Tricomi
Lisa Facciolo
Giovanni Apruzzese
Mauro Conti
342
9
0
17 Oct 2022
A Survey on Collaborative DNN Inference for Edge Intelligence
A Survey on Collaborative DNN Inference for Edge IntelligenceMachine Intelligence Research (MIR), 2022
Weiqing Ren
Yuben Qu
Chao Dong
Yuqian Jing
Hao Sun
Qihui Wu
Song Guo
294
94
0
16 Jul 2022
MIAShield: Defending Membership Inference Attacks via Preemptive
  Exclusion of Members
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of MembersProceedings on Privacy Enhancing Technologies (PoPETs), 2022
Ismat Jarin
Birhanu Eshete
270
12
0
02 Mar 2022
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in
  Machine Learning
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine LearningConference on Data and Application Security and Privacy (CODASPY), 2021
Ismat Jarin
Birhanu Eshete
AAML
223
16
0
24 Dec 2021
1
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