|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Intelligent Location-Privacy Preserving Mechanisms
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.
This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The widespread use of smart mobile devices has fostered the development of a variety of successful data-sharing mobile applications. The data that users disclose to untrusted entities (for example, through location-based services) exposes aspects of their private life, which is not apparent at first but can be inferred from the revealed data. People are notoriously bad estimators of risks, including privacy risks. Moreover, due to various cognitive biases, lack of enough information, and the complexity of the decision problem, it is difficult for users to make the optimal decision about whether to reveal or obfuscate their information and, if necessary, how to obfuscate it. In this talk, I address the problem of protecting users’ privacy in data-sharing mobile applications, with the focus on location-based services. I propose strategic algorithms and intelligent tools to automatically assess the users’ location-privacy level, and to find the right balance between revealing and hiding their data. I will present the Location-Privacy Meter (LPM) tool, that we developed to quantify location privacy, as well as our work on optimal defense mechanisms against location-inference attacks.
This talk is part of the Microsoft Research Cambridge, public talks series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsFaculty of Music - Lectures Featured talks Lucy Cavendish College
Other talksThe fugitive sojourns of Gurdit Singh, 1914-1922 Biomedical Engineering: problem solving using clinical and biomedical applications MRC Epidemiology / CEDAR Seminar: Dr Derek Yach 'Narkomen: Heroin Addiction in the Silk' Road - 37 mins, in Russian with English subtitles) Oil Sands in Canada Informed Trading by Advisor Banks? A look at options holdings ahead of mergers