78 citations · 174 across the 18 of their papers we have counts for
12 papers · 1 filter
Using Participants' Utility Functions to Compare Versions of Differential Privacy
Nitin Kohli, Michael Carl Tschantz
We use decision theory to compare variants of differential privacy from the perspective of prospective study participants. We posit the existence of a preference ordering on the se…
The Effectiveness of Privacy Enhancing Technologies against Fingerprinting
Amit Datta, Jianan Lu, Michael Carl Tschantz
We measure how effective Privacy Enhancing Technologies (PETs) are at protecting users from website fingerprinting. Our measurements use both experimental and observational methods…
Cybercasing 2.0: You Get What You Pay For
Jaeyoung Choi, Istemi Ekin Akkus, Serge Egelman +4
Under U.S. law, marketing databases exist under almost no legal restrictions concerning accuracy, access, or confidentiality. We explore the possible (mis)use of these databases in…
The Accuracy of the Demographic Inferences Shown on Google's Ad Settings
Michael Carl Tschantz, Serge Egelman, Jaeyoung Choi +2
Google's Ad Settings shows the gender and age that Google has inferred about a web user. We compare the inferred values to the self-reported values of 501 survey participants. We f…
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Anupam Datta, Shayak Sen, Michael Carl Tschantz
Privacy and nondiscrimination are related but different. We make this observation precise in two ways. First, we show that both privacy and nondiscrimination have two versions, a c…
Differential Privacy as a Causal Property
Michael Carl Tschantz, Shayak Sen, Anupam Datta
We present associative and causal views of differential privacy. Under the associative view, the possibility of dependencies between data points precludes a simple statement of dif…