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Critique of Privacy in Machine Learning by zefalriz is a document available to read on EtoBox.

This paper critiques current privacy approaches in machine learning, highlighting that they often prioritize technical solutions over the ethical implications of privacy violations. It argues that existing regulations like GDPR allow superficial compliance, failing to adequately protect individuals

Author
zefalriz
Language
EN