A Survey of Privacy Attacks in Machine Learning. (arXiv:2007.07646v3 [cs.CR] UPDATED)

Abstract: As machine learning becomes more widely used, the need to study its implications in security and privacy becomes more urgent. Although the body of work in privacy has been steadily growing over the past few years, research on the privacy aspects of machine learning has received less focus than the security aspects. Our contribution in this research is an

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