Privacy-Preserving Image Template Sharing Using Contrastive Learning

With the recent developments of Machine Learning as a Service (MLaaS), various privacy concerns have been raised. Having access to the user’s data, an adversary can design attacks with different objectives, namely, reconstruction or attribute inference attacks. In this paper, we propose two differen...

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Detalles Bibliográficos
Autores principales: Rezaeifar, Shideh, Voloshynovskiy, Slava, Asgari Jirhandeh, Meisam, Kinakh, Vitality
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141880/
https://www.ncbi.nlm.nih.gov/pubmed/35626528
http://dx.doi.org/10.3390/e24050643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141880/
https://www.ncbi.nlm.nih.gov/pubmed/35626528
http://dx.doi.org/10.3390/e24050643

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