Usable Privacy
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FORE Systems Professor, Computer Science. And Engineering and Public Policy. Associate Department Head, Engineering and Public Policy. Director, CyLab Usable Privacy and Security Laboratory. Co-director, MSIT-Privacy Engineering masters program. I was on leave from CMU in 2016 to serve as Chief Technologist at the US Federal Trade Commission.
ISR - School of Computer Science - Carnegie Mellon University. 5000 Forbes Avenue - Pittsburgh PA 15213-3891. Director, Mobile Commerce Lab. Lead PI, Usable Privacy Policy Project. Lead PI, Personalized Privacy Assistant Project. Co-Director, MSIT in Privacy Engineering. Director, MBA Track in Technology Leadership. Director, e-Supply Chain Management Lab.
ISR - School of Computer Science - Carnegie Mellon University. 5000 Forbes Avenue - Pittsburgh PA 15213-3891. Director, Mobile Commerce Lab. Lead PI, Usable Privacy Policy Project. Lead PI, Personalized Privacy Assistant Project. Co-Director, MSIT in Privacy Engineering. Director, MBA Track in Technology Leadership. Director, e-Supply Chain Management Lab.
Join our mailing list! The Usable Privacy Policy research project. Develops methods and techniques to semi-automatically analyze privacy policies with crowdsourcing, natural language processing and machine learning. The results currently presented on this site were obtained using annotations crowdsourced from law students.
What is needed is a new, more scalable paradigm that empowers users to regain appropriate control over their data. We envision personalized privacy assistants.
I am a PhD student at Carnegie Mellon University. This is a website for sharing my work. Feel free to contact me. With questions or comments! .
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Norman Sadeh
ISR - School of Computer Science
Pittsburgh, Pennsylvania, 15213
US
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I found that this domain is implementing the Apache/2.2.22 (Ubuntu) server.TITLE
Usable PrivacyDESCRIPTION
The Usable Privacy Policy Project. Towards Effective Web Privacy Notice and Choice. In the Usable Privacy Policy Project, we build on recent advances in natural language processing NLP, privacy preference modeling, crowdsourcing, and privacy interface design in order to develop a practical framework based on a websites existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators. Learn More.CONTENT
This web site usableprivacy.org had the following on the site, "Towards Effective Web Privacy Notice and Choice." Our analyzers noticed that the webpage said " In the Usable Privacy Policy Project, we build on recent advances in natural language processing NLP, privacy preference modeling, crowdsourcing, and privacy interface design in order to develop a practical framework based on a websites existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators."SIMILAR WEB SITES
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Will serve as the workshop blog. This workshop is organized in cooperation with the International Financial Cryptography Association.
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