Towards a data privacy-predictive performance trade-off-Reference-Cited by-同舟云学术

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Towards a data privacy-predictive performance trade-off

Published:2023-08 Issue: Volume:223 Page:119785
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Carvalho Tânia^ORCID,Moniz Nuno^ORCID,Faria Pedro,Antunes Luís^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference69 articles.

1. On the use of LSH for privacy preserving personalization;Aghasaryan,2013

2. An introduction to categorical data analysis;Agresti,1996

3. Time for a change: A tutorial for comparing multiple classifiers through Bayesian analysis;Benavoli;Journal of Machine Learning Research,2017

4. A Bayesian wilcoxon signed-rank test based on the Dirichlet process;Benavoli,2014

5. Microdata protection through noise addition;Brand,2002

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications;ACM SIGKDD Explorations Newsletter;2024-07-24

2. The unfair side of Privacy Enhancing Technologies: addressing the trade-offs between PETs and fairness;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

3. A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals;The Lancet Digital Health;2024-02

4. PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Game Theory-Based Trade-Off Analysis for Privacy and Openness in Decision Making by Controlling Quantity of Information;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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