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Personalized Privacy Assistant Project

Personalized Privacy Assistant Project. The Internet of Things (IoT) and Big Data are making it impractical for people to keep up with the many different ways in which their data can potentially be collected and processed. What is needed is a new, more scalable paradigm that empowers users to regain appropriate control over their data. We envision personalized privacy assistants. Modeling and Learning People’s Privacy Preferences. 2014 ACMSymposium on Usable Security and Privacy (SOUPS 2014), July 2014.

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Personalized Privacy Assistant Project | privacyassistant.org Reviews

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Personalized Privacy Assistant Project. The Internet of Things (IoT) and Big Data are making it impractical for people to keep up with the many different ways in which their data can potentially be collected and processed. What is needed is a new, more scalable paradigm that empowers users to regain appropriate control over their data. We envision personalized privacy assistants. Modeling and Learning People’s Privacy Preferences. 2014 ACMSymposium on Usable Security and Privacy (SOUPS 2014), July 2014.

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Personalized Privacy Assistant Project | privacyassistant.org Reviews

https://privacyassistant.org

Personalized Privacy Assistant Project. The Internet of Things (IoT) and Big Data are making it impractical for people to keep up with the many different ways in which their data can potentially be collected and processed. What is needed is a new, more scalable paradigm that empowers users to regain appropriate control over their data. We envision personalized privacy assistants. Modeling and Learning People’s Privacy Preferences. 2014 ACMSymposium on Usable Security and Privacy (SOUPS 2014), July 2014.

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privacyassistant.org

1

Personalized Privacy Assistant Project

http://www.privacyassistant.org//people

Personalized Privacy Assistant Project. Lead PI and main contact. Dr Piotr (Peter) Mardziel. Societal Computing PhD Program. School of Computer Science. Societal Computing PhD Program. School of Computer Science. Societal Computing Graduate Program. School of Computer Science. Language Technologies MS Program. School of Computer Science. Societal Computing PhD Program. School of Computer Science. Electrical and Computer Engineering graduate program. Electrical and Computer Engineering graduate program.

2

Personalized Privacy Assistant Project

http://www.privacyassistant.org//publications

Personalized Privacy Assistant Project. S Zimmeck, Z. Wang, L. Zou, R. Iyengar, B. Liu, F. Schaub, S. Wilson, N. Sadeh, S.M. Bellovin, J.R. Reidenberg, "Automated Analysis of Privacy Requirements for Mobile Apps". NDSS Symposium 2017, Feb 2017 [pdf]. S Zimmeck, Z. Wang, L. Zou, R. Iyengar, B. Liu, F. Schaub, S. Wilson, N. Sadeh, S.M. Bellovin, J.R. Reidenberg, "Automated Analysis of Privacy Requirements for Mobile Apps". AAAI Fall Symposium on Privacy and Language Technologies, Nov 2016 [pdf]. N Sadeh, "...

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Personalized Privacy Assistant Project

http://www.privacyassistant.org//index

Personalized Privacy Assistant Project. The Internet of Things (IoT) and Big Data are making it impractical for people to keep up with the many different ways in which their data can potentially be collected and processed. What is needed is a new, more scalable paradigm that empowers users to regain appropriate control over their data. We envision personalized privacy assistants. Modeling and Learning People’s Privacy Preferences. 2014 ACMSymposium on Usable Security and Privacy (SOUPS 2014), July 2014.

4

Personalized Privacy Assistant

http://www.privacyassistant.org//news

Personalized Privacy Assistant Project. News Coverage of Privacy Assistant Release Feb 2017. The launch of our Privacy Assistant for Mobile Apps is also getting some nice press coverage, including PC magazine. Privacy Assistant for Android released Feb 2017. Just released first version of our Privacy Assistant in Google Play store. For the time being, it’s only available for rooted Android phones. Hoping that over time we can make it available to everyone. NDSS and PrivacyCon 2017 Jan 2017. From the Cal ...

5

Personalized Privacy Assistant Project

http://www.privacyassistant.org//openings

Personalized Privacy Assistant Project. Our project has an opening for one post-doctoral fellow (see job postings below). We are also always looking for bright undergrads and graduate students to work with us. Copright 2017 Personalized Privacy Assistant Project.

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Norman Sadeh: Recent News (Short Selection)

http://www.normsadeh.com/recent-news

Recent News (Short Selection). Chairwoman Edith Ramirez mentions our Personalized Privacy Assistant project. In her keynote address at the Technology Policy Institute Aspen Forum. August 2016: Recent coverage in Ed Tech article. Focusing on security and privacy in IoT. July 2016: Our Personalized Privacy Assistant. Is featured on CMU. 8217;s home page. And also in Tech Crunch. June 2016: Our Usable Privacy Policy Project’s. On our Explore.UsablePrivacy.Org. May 2016: Three articles. Ashwini Rao, Florian ...

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Norman Sadeh: Academic CV

http://www.normsadeh.com/academic-cv

Here’s a copy of my resume. Director, Mobile Commerce Lab. Lead PI, Usable Privacy Policy Project. Lead PI, Personalized Privacy Assistant Project. Co-Director, MSIT in Privacy Engineering. Co-Founder, Societal Computing (formerly COS) PhD Program. Director, MBA Track in Technology Leadership. Director, e-Supply Chain Management Lab. School of Computer Science. Institute for Software Research. Heinz College of Management and Public Policy. Tepper School of Business. 2001-2010 Norman M. Sadeh.

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Norman Sadeh: Publications List

http://www.normsadeh.com/publications-list

For a more complete list, or here. For the same list sorted in reverse chronological order. W Ketter, H. La Poutré, N.M. Sadeh, O. Shehory, and W. Walsh (Eds.), Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis. Series, Vol. 44, Springer, Nov. 2010. J Collins, P. Faratin, S. Parsons, J.A. Rodriguez-Aguilar, N.M. Sadeh, O. Shehory, and E. Sklar (Eds.), Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis. Series, Vol. 13, Springer, Nov. 2008. Wiley, April 2002.

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Norman Sadeh: Courses

http://www.normsadeh.com/courses

Information Security and Privacy. 15-421/08-731/08-761/45-885/45-985) – Every Fall semester since 2005. Current Topics in Privacy Seminar. Mobile and IoT Computing Services. 08-781/08-766/45-887/45-987) – Every Spring since 2001. Current Topics in Privacy Seminar. Mobile Commerce (learning-by-doing module, only for students in the MSIT. Capstone Projects, MBA. Track in Technology Leadership (only for students in the MBA. Track in Technology Leadership). In Privacy Engineering and MSIT.

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Norman Sadeh: Home

http://www.normsadeh.com/home

ISR - School of Computer Science - Carnegie Mellon University. 5000 Forbes Avenue - Pittsburgh PA 15213-3891. Sadeh at cs.cmu.edu. Lab Manager: Linda Francona - (412) 268-9934 - laf20 at cs.cmu.edu. Fall 2016 PhD Orientation. I am looking for one or two new PhD students. Director, Mobile Commerce Lab. Lead PI, Usable Privacy Policy Project. Lead PI, Personalized Privacy Assistant Project. Co-Director, MSIT in Privacy Engineering. Co-Founder, Societal Computing (formerly COS) PhD Program.

normsadeh.com

Norman Sadeh: Short Narrative

http://www.normsadeh.com/short-narrative

Norman M. Sadeh is a Professor in the School of Computer Science at Carnegie Mellon University ( CMU. He is director of CMU’s Mobile Commerce Laboratory and its e-Supply Chain Management Laboratory, co-Founder of the School’s PhD Program in Societal Computing (formerly “Computation, Organizations and Society”) and co-Director of the MSIT. Program in Privacy Engineering. He also co-founded and directs the MBA. Eventually acquired by IBM. And the US Army. His privacy research has been credited with inf...

normsadeh.com

Norman Sadeh: Miscellaneous

http://www.normsadeh.com/miscellaneous

Job Shop Scheduling benchmarks. In zipped format) introduced in my dissertation. Director, Mobile Commerce Lab. Lead PI, Usable Privacy Policy Project. Lead PI, Personalized Privacy Assistant Project. Co-Director, MSIT in Privacy Engineering. Co-Founder, Societal Computing (formerly COS) PhD Program. Director, MBA Track in Technology Leadership. Director, e-Supply Chain Management Lab. School of Computer Science. Institute for Software Research. Heinz College of Management and Public Policy.

normsadeh.org

Norman Sadeh: Recent News (Short Selection)

http://www.normsadeh.org/recent-news

Recent News (Short Selection). Chairwoman Edith Ramirez mentions our Personalized Privacy Assistant project. In her keynote address at the Technology Policy Institute Aspen Forum. August 2016: Recent coverage in Ed Tech article. Focusing on security and privacy in IoT. July 2016: Our Personalized Privacy Assistant. Is featured on CMU. 8217;s home page. And also in Tech Crunch. June 2016: Our Usable Privacy Policy Project’s. On our Explore.UsablePrivacy.Org. May 2016: Three articles. Ashwini Rao, Florian ...

normsadeh.org

Norman Sadeh: Publications List

http://www.normsadeh.org/publications-list

For a more complete list, or here. For the same list sorted in reverse chronological order. W Ketter, H. La Poutré, N.M. Sadeh, O. Shehory, and W. Walsh (Eds.), Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis. Series, Vol. 44, Springer, Nov. 2010. J Collins, P. Faratin, S. Parsons, J.A. Rodriguez-Aguilar, N.M. Sadeh, O. Shehory, and E. Sklar (Eds.), Agent-Mediated Electronic Commerce and Trading Agents Design and Analysis. Series, Vol. 13, Springer, Nov. 2008. Wiley, April 2002.

normsadeh.org

Norman Sadeh: Short Narrative

http://www.normsadeh.org/short-narrative

Norman M. Sadeh is a Professor in the School of Computer Science at Carnegie Mellon University ( CMU. He is director of CMU’s Mobile Commerce Laboratory and its e-Supply Chain Management Laboratory, co-Founder of the School’s PhD Program in Societal Computing (formerly “Computation, Organizations and Society”) and co-Director of the MSIT. Program in Privacy Engineering. He also co-founded and directs the MBA. Eventually acquired by IBM. And the US Army. His privacy research has been credited with inf...

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Personalized Privacy Assistant Project

Personalized Privacy Assistant Project. The Internet of Things (IoT) and Big Data are making it impractical for people to keep up with the many different ways in which their data can potentially be collected and processed. What is needed is a new, more scalable paradigm that empowers users to regain appropriate control over their data. We envision personalized privacy assistants. Modeling and Learning People’s Privacy Preferences. 2014 ACMSymposium on Usable Security and Privacy (SOUPS 2014), July 2014.

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