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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |