Differentially Private Ordinary Least Squares
نویسندگان
چکیده
منابع مشابه
Differentially Private Ordinary Least Squares
Linear regression is one of the most prevalent techniques in machine learning; however, it is also common to use linear regression for its explanatory capabilities rather than label prediction. Ordinary Least Squares (OLS) is often used in statistics to establish a correlation between an attribute (e.g. gender) and a label (e.g. income) in the presence of other (potentially correlated) features...
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More specifically, we use Theorem B.1 from (Sheffet, 2015) that states that given a matrix A whose all of its singular values at greater than T ( , δ) where T ( , δ) = 2B (√ 2r ln(4/δ) + 2 ln(4/δ) ) , publishing RA is ( , δ)differentially private for a r-row matrix R whose entries sampled are i.i.d normal Gaussians. Since we have that all of the singular values of A′ are greater than w (as spec...
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ژورنال
عنوان ژورنال: Journal of Privacy and Confidentiality
سال: 2019
ISSN: 2575-8527
DOI: 10.29012/jpc.654