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Creators/Authors contains: "Datta, Amit"

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  1. ; ; (, WWW '19 The World Wide Web Conference)
    We study how to evaluate Anti-Fingerprinting Privacy Enhancing Technologies (AFPETs). Experimental methods have the advantage of control and precision, and can be applied to new AFPETs that currently lack a user base. Observational methods have the advantage of scale and drawing from the browsers currently in real-world use. We propose a novel combination of these methods, offering the best of both worlds, by applying experimentally created models of a AFPET's behavior to an observational dataset. We apply our evaluation methods to a collection of AFPETs to find the Tor Browser Bundle to be the most effective among them. We further uncover inconsistencies in some AFPETs' behaviors. 
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    Full Text Available 
  2. ; ; ; ; (, Conference on Fairness, Accountability, and Transparency)
    Accepted Manuscript Full Text Available
  3. ; ; ; ; (, Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR)
    We explore ways in which discrimination may arise in the targeting of job-related advertising, noting the potential for multiple parties to contribute to its occurrence. We then examine the statutes and case law interpreting the prohibition on advertisements that indicate a preference based on protected class, and consider its application to online advertising. We focus on its interaction with Section 230 of the Communications Decency Act, which provides interactive computer services with immunity for providing access to information created by a third party. We argue that such services can lose that immunity if they target ads toward or away from protected classes without explicit instructions from advertisers to do so. 
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    Accepted Manuscript Full Text Available