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Privacy protection generalization with adversarial fusion

Privacy protection generalization with adversarial fusion

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_afb3f80288c140fe84a96e38c035f1db

Privacy protection generalization with adversarial fusion

About this item

Full title

Privacy protection generalization with adversarial fusion

Publisher

AIMS Press

Journal title

Mathematical Biosciences and Engineering, 2022-01, Vol.19 (7), p.7314-7336

Language

English

Formats

Publication information

Publisher

AIMS Press

More information

Scope and Contents

Contents

Several biometric privacy-enhancing techniques have been appraised to protect face image privacy. However, a face privacy protection algorithm is usually designed for a specific face recognition algorithm. When the structure or threshold of the face recognition algorithm is fine-tuned, the protection algorithm may be invalid. It will cause the netw...

Alternative Titles

Full title

Privacy protection generalization with adversarial fusion

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_afb3f80288c140fe84a96e38c035f1db

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_afb3f80288c140fe84a96e38c035f1db

Other Identifiers

ISSN

1551-0018

E-ISSN

1551-0018

DOI

10.3934/mbe.2022345

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