2017

  • Anupam Das and Martin Degeling and Xiaoyou Wang and Junjue Wang and Norman Sadeh and Mahadev Satyanarayanan, "Assisting Users in a World Full of Cameras: A Privacy-aware Infrastructure for Computer Vision Applications", 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jul 2017 [pdf]

  • Junjue Wang, Brandon Amos, Anupam Das, Padmanabhan Pillai, Norman Sadeh, Mahadev Satyanarayanan, "A Scalable and Privacy-Aware IoT Service for Live Video Analytics", 8th ACM Multimedia Systems Conference (MMSys 2017), Jun 2017 [pdf]

  • Primal Pappachan, Martin Degeling, Roberto Yus, Anupam Das, Sruti Bhagavatula, William Melicher, Pardis Emami Naeini, Shikun Zhang, Lujo Bauer, Alfred Kobsa, Sharad Mehrotra, Norman Sadeh and Nalini Venkatasubramanian, "Towards Privacy-Aware Smart Buildings: Capturing, Communicating, and Enforcing Privacy Policies and Preferences", International Workshop on the Internet of Things Computing and Applications (IoTCA), Jun 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", NDSS Symposium 2017, Feb 2017 [pdf]

2016

  • 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]

  • A. Rao, F. Schaub, N. Sadeh, A. Acquisti, and R. Kang, "Expecting the Unexpected: Understanding Mismatched Privacy Expectations Online", Symposium on Usable Privacy and Security (SOUPS '16), Jun 2016 Denver, CO [pdf]

  • J. Gluck, F. Schaub, A. Friedman, H. Habib, N. Sadeh, L.F. Cranor, and Y. Agarwal, "How Short is Too Short? Implications of Length and Framing on the Effectiveness of Privacy Notices", Symposium on Usable Privacy and Security (SOUPS '16), Jun 2016 Denver, CO [pdf]

  • B. Liu, M.S. Andersen, F. Schaub, H. Almuhimedi, S. Zhang, N. Sadeh, A. Acquisti, and Y. Agarwal, "Follow My Recommendations: A Personalized Assistant for Mobile App Permissions", Symposium on Usable Privacy and Security (SOUPS '16), Jun 2016 Denver, CO [pdf]

  • A. Datta, S. Sen, and Y. Zick, "Algorithmic Transparency via Quantitative Input Influence", in Proceedings of 37th IEEE Symposium on Security and Privacy, May 2016 [pdf]

  • N. Sadeh, "Personalized Privacy Assistants: From Android to the Internet of Things", Presentation at FTC PrivacyCon, Jan 2016 [link]

2015

  • W. Melicher, M. Sharif, J. Tan, L. Bauer, M. Christodorescu, and P. G. Leon, "(Do not) Track me sometimes: Users' contextual preferences for web tracking", in Proceedings on Privacy Enhancing Technologies, Dec 2015 [pdf]

  • F. Schaub, R. Balebako, A. Durity, L. Cranor, "A Design Space for Effective Privacy Notices", SOUPS 2015, Jul 2015 [pdf]

  • H. Almuhimedi, F. Schaub, N. Sadeh, Y. Agarwal, A. Acquisti, I. Adjerid, J. Gluck, L. Cranor, "Your Location Has Been Shared 5398 Times! A Field Study on Mobile Privacy Nudges", in Proc. CHI 2015, Jul 2015 [pdf]

  • Amit Datta, Michael Carl Tschantz, Anupam Datta, "Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination", in Proc. Privacy Enhancing Technologies Symposium, Jul 2015 [pdf]

  • Michael Carl Tschantz, Amit Datta, Anupam Datta, Jeannette M. Wing, "A Methodology for Information Flow Experiments", in Proc. 28th IEEE Computer Security Foundations Symposium, Jul 2015 [pdf]

2014

  • J. Lin, B. Liu, N. Sadeh, and J.I. Hong, "Modeling Users’ Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings", 2014 ACM Symposium on Usable Security and Privacy (SOUPS 2014), Jul 2014 [pdf]

  • B. Liu, J. Lin, N. Sadeh, "Reconciling Mobile App Privacy and Usability on Smartphones: Could User Privacy Profiles Help?", 23rd Interntional Conference on the World Wide Web (WWW 2014), Jul 2014 [pdf]

  • Y. Wang, P.G. Leon, A. Acquisti, L.F. Cranor, A. Forget, and N. Sadeh, "A Field Trial of Privacy Nudges for Facebook", in Proc. 32nd annual SIGCHI Conference on Human Factors in Computing Systems, CHI2014, Apr 2014 [pdf]

2013

  • S. Wilson, J. Cranshaw, N. Sadeh, A. Acquisti, L. Cranor, J. Springfield, Sae Young Jeong, Arun Balasubramanian, "Privacy Manipulation and Acclimation in a Location Sharing Application", in Proc. of the 15th ACM International Conference on Ubiquitous Computing (Ubicomp2013), Sep 2013 [pdf]

  • A. Sinha, Y. Li, and L. Bauer, "What you want is not what you get: Predicting sharing policies for text-based content on Facebook", In Proc. AISec, Jul 2013 [pdf]

2011

  • J. Cranshaw, J. Mugan, N. Sadeh, "User-Controllable Learning of Location Privacy Policies with Gaussian Mixture Models", In Proc. 25th AAAI Conference on Artificial Intelligence, Aug 2011 [pdf]

  • J. Mugan, T. Sharma, N. Sadeh, "Understandable Learning of Privacy Preferences through Default Personas and Suggestions", Carnegie Mellon University's School of Computer Science Technical Report CMU-ISR-11-112, Aug 2011 [pdf]

2004

  • F. Gandon, and N. Sadeh, "Semantic Web Technologies to Reconcile Privacy and Context Awareness", in Journal of Web Semantics, Vol. 1, No. 3, Jul 2004 [pdf]

Relevant Prior Research