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pro vyhledávání: '"Sablayrolles, Alex"'
Privacy-Preserving machine learning (PPML) can help us train and deploy models that utilize private information. In particular, on-device machine learning allows us to avoid sharing raw data with a third-party server during inference. On-device model
Externí odkaz:
http://arxiv.org/abs/2305.12997
The vulnerability of machine learning models to membership inference attacks has received much attention in recent years. However, existing attacks mostly remain impractical due to having high false positive rates, where non-member samples are often
Externí odkaz:
http://arxiv.org/abs/2111.08440
Privacy-Preserving machine learning (PPML) can help us train and deploy models that utilize private information. In particular, on-device Machine Learning allows us to completely avoid sharing information with a third-party server during inference. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0afa3571d1c8f4549d20e7dcc2809a6e