Feature Selection for Classification under Anonymity Constraint

22 Dec 2015Baichuan ZhangNoman MohammedVachik DaveMohammad Al Hasan

Over the last decade, proliferation of various online platforms and their increasing adoption by billions of users have heightened the privacy risk of a user enormously. In fact, security researchers have shown that sparse microdata containing information about online activities of a user although anonymous, can still be used to disclose the identity of the user by cross-referencing the data with other data sources... (read more)

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