Mahmood Sharif

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Machine learning is enabling a myriad innovations, including new algorithms for cancer diagnosis and self-driving cars. The broad use of machine learning makes it important to understand the extent to which machine-learning algorithms are subject to attack, particularly when used in applications where physical security or safety is at risk. In this paper,(More)
Biometric authentication is more secure than using regular passwords, as biometrics cannot be "forgotten" and contain high entropy. Thus, many constructions rely on biometric features for authentication, and use them as a source for "good" cryptographic keys. At the same time, biometric systems carry with them many privacy concerns. We describe a(More)
Online trackers compile profiles on users for targeting ads, customizing websites, and selling users’ information. In this paper, we report on the first detailed study of the perceived benefits and risks of tracking—and the reasons behind them—conducted in the context of users’ own browsing histories. Prior work has studied this in the abstract; in(More)
Computer security tools usually provide universal solutions without taking user characteristics (origin, income level, ...) into account. In this paper, we test the validity of using such universal security defenses, with a particular focus on culture. We apply the previously proposed Security Behavior Intentions Scale (SeBIS) to 3,500 participants from(More)
Studies of Internet censorship rely on an experimental technique called probing. From a client within each country under investigation, the experimenter attempts to access network resources that are suspected to be censored, and records what happens. The set of resources to be probed is a crucial, but often neglected, element of the experimental design. We(More)
Copyright is held by the author/owner. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee. Poster presented at the 12th Symposium on Usable Privacy and Security (SOUPS 2016), June 22-24, 2016, Denver CO. Abstract We are interested in understanding how cultural differences impact(More)
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