Privacy-Aware Early Detection of COVID-19 Through Adversarial Training-Reference-Cited by-同舟云学术

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training

Author:

Rohanian Omid¹^ORCID,Kouchaki Samaneh²^ORCID,Soltan Andrew³,Yang Jenny¹^ORCID,Rohanian Morteza⁴,Yang Yang¹,Clifton David¹

Affiliation:

1. Department of Engineering Science, University of Oxford, Oxford, U.K.

2. Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.

3. John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, U.K.

4. Queen Mary University of London, London, U.K.

Funder

Wellcome Trust/University of Oxford Medical & Life Sciences Translational Fund

National Institute for Health and Care Research

Oxford Biomedical Research Centre

InnoHK Project at the Hong Kong Centre for Cerebro-cardiovascular Health Engineering

Medical Research Council

Pandemic Sciences Institute

University of Oxford

NIHR Academic Clinical Fellow

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference20 articles.

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3. Using Adversarial Training in Developing Robust Models for COVID-19 X-Ray Detection;2023 14th International Conference on Information and Communication Systems (ICICS);2023-11-21