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Usable Privacy

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 website's existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators. Learn More.

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CONTACTS AT USABLEPRIVACY.ORG

Norman Sadeh

ISR - Schoo●●●●●●●●●●●ter Science

Pit●●●rgh , Pennsylvania, 15213

US

1.41●●●●9934
sa●●●@cs.cmu.edu

View this contact

Norman Sadeh

ISR - Schoo●●●●●●●●●●●ter Science

Pit●●●rgh , Pennsylvania, 15213

US

1.41●●●●9934
sa●●●@cs.cmu.edu

View this contact

Norman Sadeh

ISR - Schoo●●●●●●●●●●●ter Science

Pit●●●rgh , Pennsylvania, 15213

US

1.41●●●●9934
sa●●●@cs.cmu.edu

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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 website's existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators. Learn More.
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2 people
3 publications
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6 bank privacy website
7 fopnac workshop
8 acl/coling 2014 dataset
9 clip ny ag briefing
10 all rights reserved
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Usable Privacy | usableprivacy.org Reviews

https://usableprivacy.org

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 website's existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators. Learn More.

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explore.usableprivacy.org explore.usableprivacy.org

Usable Privacy

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. Explore some of the project’s data and analysis results on this website by seeing different types of data practices highlighted in privacy policies of different websites. The results currently presented on this site were obtained using annotations crowdsourced from law students.

INTERNAL PAGES

usableprivacy.org usableprivacy.org
1

Usable Privacy Policy Project

http://www.usableprivacy.org//publications

M Bokaei Hosseini, S. Wadkar, T.D. Breaux, J. Niu, "Lexical Similarity of Information Type Hypernyms, Meronyms and Synonyms in Privacy Policies". AAAI Fall Symposium on Privacy and Language Technologies, Nov 2016. F Liu, S. Wilson, F. Schaub, N. Sadeh, "Analyzing Vocabulary Intersections of Expert Annotations and Topic Models for Data Practices in Privacy Policies". AAAI Fall Symposium on Privacy and Language Technologies, Nov 2016. AAAI Fall Symposium on Privacy and Language Technologies, Nov 2016.

2

Usable Privacy Policy Project

http://www.usableprivacy.org//activities

OPP-115 Corpus of Annotated Privacy Policies. Our ACL'16 paper provides further details on the corpus and the annotation process. Download the OPP-115 corpus. S Wilson, F. Schaub, A.A. Dara, F. Liu, S.K. Cherivirala, P.G. Leon, M.S. Andersen, S. Zimmeck, K.M. Sathyendra, N.C. Russell, T.B. Norton, E. Hovy, J. Reidenberg, and N. Sadeh. The creation and analysis of a website privacy policy corpus. AAAI Fall Symposium on Privacy and Language Technologies. UPPP Newsletter (June 2016). Florian Schaub co-organ...

3

Usable Privacy Policy Project

http://www.usableprivacy.org/openings

Our project has openings for students and postdocs (see job postings below). We are also always looking for bright undergrads and graduate students to work with us. Two Post-doc openings at CMU. The School of Computer Science at Carnegie Mellon University has two post-doc openings to work on a new, interdisciplinary project aimed at semi-automatically extracting privacy policy annotations on a large-scale through a combination of natural language processing, crowdsourcing and machine learning.

4

Usable Privacy Policy Project

http://www.usableprivacy.org//people

Lead PI and main contact. Prof Barbara van Schewick. Affiliated Faculty, Post-Doctoral Fellows and Senior Research Staff. N Cameron Russell, Esq. Sushain K. Cherivirala. Dr Mads Schaarup Andersen. Alexander J. Callen. James T. Graves. Washington University, St. Louis. Thomas B. Norton. Copright 2016 Usable Privacy Policy Project.

5

Usable Privacy Policy Project

http://www.usableprivacy.org/activities

OPP-115 Corpus of Annotated Privacy Policies. Our ACL'16 paper provides further details on the corpus and the annotation process. Download the OPP-115 corpus. S Wilson, F. Schaub, A.A. Dara, F. Liu, S.K. Cherivirala, P.G. Leon, M.S. Andersen, S. Zimmeck, K.M. Sathyendra, N.C. Russell, T.B. Norton, E. Hovy, J. Reidenberg, and N. Sadeh. The creation and analysis of a website privacy policy corpus. AAAI Fall Symposium on Privacy and Language Technologies. UPPP Newsletter (June 2016). Florian Schaub co-organ...

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normsadeh.com normsadeh.com

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 ...

privacyassistant.org privacyassistant.org

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 ...

normsadeh.com normsadeh.com

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.

normsadeh.com normsadeh.com

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.

hltcoe.jhu.edu hltcoe.jhu.edu

Archive

http://hltcoe.jhu.edu/events/archive

Data Sets and Resources. Only show seminars with video. June 8, 2015. Ldquo;From Mono-lingual to Cross-lingual: State-of-the-art Entity Discovery and Linking”. Http:/ cl.naist.jp/ kevinduh. March 19, 2015. Ldquo;Bayesian networks for finding linguistic structure in low-resource domains”. The rapid growth of human language data is a ubiquitous phenomenon, most of which is unstructured. 1) His dissertation research developing an unsupervised approach to learning verb syntax in biomedical subdomains, an imp...

hltcoe.jhu.edu hltcoe.jhu.edu

Archive

http://hltcoe.jhu.edu/events/archive/2015

Data Sets and Resources. Only show seminars with video. June 8, 2015. Ldquo;From Mono-lingual to Cross-lingual: State-of-the-art Entity Discovery and Linking”. Http:/ cl.naist.jp/ kevinduh. March 19, 2015. Ldquo;Bayesian networks for finding linguistic structure in low-resource domains”. The rapid growth of human language data is a ubiquitous phenomenon, most of which is unstructured. 1) His dissertation research developing an unsupervised approach to learning verb syntax in biomedical subdomains, an imp...

normsadeh.com normsadeh.com

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.

normsadeh.com normsadeh.com

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 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 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.

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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 website's existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators. Learn More.

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