2023
2022
Shikun Zhang, Yuanyuan Feng, Yaxing Yao, Lorrie Faith Cranor, Norman Sadeh, "How Usable Are iOS Privacy Labels?", Proceedings on Privacy Enhancing Technologies, 2022, 4, Jul 2022 [pdf]
Peter Story, Daniel Smullen, Rex Chen, Yaxing Yao, Alessandro Acquisti, Lorrie Faith Cranor, Norman Sadeh, Florian Schaub, "Increasing Adoption of Tor Browser Using Informational and Planning Nudges", Proceedings on Privacy Enhancing Technologies, 2022, 2, Jul 2022 [pdf]
Shikun Zhang, Yan Shvartzshnaider, Yuanyuan Feng, Helen Nissenbaum, Norman Sadeh, "Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates", ACM Conference on Fairness, Accountability, and Transparency (FAccT 22'), Jun 2022 [pdf]
Jack Gardner, Yuanyuan Feng, Kayla Reiman, Zhi Lin, Akshath Jain, and Norman Sadeh, "Helping Mobile Application Developers Create Accurate Privacy Labels", 2022 International Workshop on Privacy Engineering, May 2022 [pdf]
2021
Shikun Zhang, Yuanyuan Feng, Norman Sadeh, "Facial Recognition: Understanding Privacy Concerns and Attitudes Across Increasingly Diverse Deployment Scenarios", Proceedings of the Seventeenth Symposium on Usable Privacy and Security (SOUPS 21'), Aug 2021 [pdf]
Daniel Smullen, Yaxing Yao, Yuanyuan Feng, Norman Sadeh, Arthur Edelstein, and Rebecca Weiss, "Managing Potentially Intrusive Practices in the Browser: A User-Centered Perspective", Proceedings on Privacy Enhancing Technologies, 2021, 4, Jul 2021 [pdf]
Norman Sadeh, Alessandro Acquisti, Lujo Bauer, Matt Fredrikson, Lorrie Crano, Anupam Datta, Matthew Tschantz, "Privacy Assistants for Big Data and the Internet of Things", AFRL Information Directorate, Final Technical Report, AFRL-RI-RS-TR-2021-116, Jul 2021 [pdf]
Hana Habib, Yixin Zou, Yaxing Yao, Alessandro Acquisti, Lorrie Faith Cranor, Joel Reidenberg, Norman Sadeh, and Florian Schaub, "Toggles, Dollar Signs, and Triangles: How to (In)Effectively Convey Privacy Choices with Icons and Link Texts", Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, May 2021 [pdf]
Yuanyuan Feng, Yaxing Yao, Norman Sadeh, "A Design Space for Privacy Choices: Towards Meaningful Privacy Control in the Internet of Things", Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, May 2021 [pdf]
Shikun Zhang, Yuanyuan Feng, Lujo Bauer, Lorrie Faith Cranor, Anupam Das, and Norman Sadeh, "“Did you know this camera tracks your mood?”: Understanding Privacy Expectations and Preferences in the Age of Video Analytics", Proceedings on Privacy Enhancing Technologies, 2021, 1, Apr 2021 [pdf]
Norman Sadeh, Bin Liu, Anupam Das, Martin Degeling, Florian Schaub, "Personalized Privacy Assistant", US Patent 10956586, Mar 2021 [patent]
2020
Shikun Zhang, Yuanyuan Feng, Anupam Das, Lujo Bauer, Lorrie Faith Cranor, Norman Sadeh, "Understanding People’s Privacy Attitudes Towards Video Analytics Technologies", School of Computer Science Technical Report CMU-ISR-20-114 Carnegie Mellon University, Dec 2020 [pdf]
Peter Story, Daniel Smullen, Alessandro Acquisti, Lorrie Faith Cranor, Norman Sadeh, Florian Schaub, "From Intent to Action: Nudging Users Towards Secure Mobile Payments", Sixteenth Symposium on Usable Privacy and Security (SOUPS 2020), Aug 2020 [pdf]
H Habib, S Pearman, J Wang, Y Zou, A Acquisti, LF Cranor, N Sadeh, ""It's a scavenger hunt": Usability of Websites' Opt-Out and Data Deletion Choices", Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Apr 2020
V Bannihatti Kumar, R Iyengar, N Nisal, Y Feng, H Habib, P Story, "Finding a choice in a haystack: automatic extraction of opt-out statements from privacy policy text", Proceedings of The Web Conference 2020, Apr 2020
Jessica Colnago, Yuanyuan Feng, Tharangini Palanivel, Sarah Pearman, Megan Ung, Alessandro Acquisti, Lorrie Cranor, and Norman Sadeh, "Informing the Design of a Personalized Privacy Assistant for the Internet of Things", 2020 CHI Conference on Human Factors in Computing Systems, Jan 2020 [doi]
2019
Bin Liu, "Can Machine Learning Help People Configue Their Mobile App Privacy Settings?", CMU-ISR-19-105, Dec 2019 [pdf]
Logan Warberg, Alessandro Acquisti, and Douglas Sicker, "Can Privacy Nudges be Tailored to Individuals’ Decision Making and Personality Traits?", In Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society (WPES’19), Nov 2019
Daniel Smullen, Yuanyuan Feng, Shikun (Aerin) Zhang, Norman Sadeh, "The Best of Both Worlds: Mitigating Trade-offs Between Accuracy and User Burden in Capturing Mobile App Privacy Preferences", Privacy Enhancing Technologies Symposium (PETS 2020), Sep 2019 [pdf]
Sebastian Zimmeck, Peter Story, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N. Cameron Russell, and Norman Sadeh, "MAPS: Scaling Privacy Compliance Analysis to a Million Apps", Privacy Enhancing Technologies Symposium (PETS 2019), Jul 2019 [pdf]
Pardis Emami-Naeini, Yuvraj Agarwal, Lorrie Faith Cranor, and Hanan Hibshi, "Ask the Experts: What Should be on an IoT Privacy and Security Label?", 41st IEEE Symposium on Security and Privacy, Jun 2019
P. Emami-Naeini, H. Dixon, Y. Agarwal, L. F. Cranor, "Exploring How Privacy and Security Factor into IoT Device Purchase Behavior", 2019 CHI Conference on Human Factors in Computing Systems, May 2019
P. Story, S. Zimmeck, A. Ravichander, D. Smullen, Z. Wang, J. Reidenberg, N. C. Russell, and N. Sadeh, "Natural Language Processing for Mobile App Privacy Compliance", AAAI Spring Symposium on Privacy Enhancing AI and Language Technologies (PAL 2019), Mar 2019
2018
P. Emami-Naeini, M. Degeling, L. Bauer, R. Chow, L. Cranor, M.R. Haghighat, and H. Patterson, "The Influence of Friends and Experts on Privacy Decision Making in IoT Scenarios", The 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW '18), Nov 2018
J. Wang, B. Amos, A. Das, P. Pillai, N. Sadeh, and M. Satyanarayanan, "Enabling Live Video Analytics with a Scalable and Privacy-Aware Middleware", ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), Jun 2018 [pdf]
P. Story, S. Zimmeck, and N. Sadeh, "Which Apps have Privacy Policies?", Annual Privacy Forum, Jun 2018 [pdf]
A. Das, M. Degeling, D. Smullen, and N. Sadeh, "Personalized Privacy Assistants for the Internet of Things", 2018 IEEE Pervasive Computing: Special Issue - Securing the IoT, Apr 2018 [pdf]
2017
Hazim Almuhimedi, "Helping Smartphone Users Manage Their Privacy Through Nudges", CMU-ISR-17-111, Dec 2017 [pdf]
A. Das, M. Degeling, X. Wang, J. Wang, N. Sadeh and M. 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]
P. Emami-Naeini, S. Bhagavatula, H. Habib, M. Degeling, L. Bauer, L. Cranor, and N. Sadeh, "Privacy Expectations and Preferences in an IoT World", Symposium on Usable Privacy and Security (SOUPS '17), Jul 2017 [pdf]
J. Wang, B. Amos, A. Das, P. Pillai, N. Sadeh, M. Satyanarayanan, "A Scalable and Privacy-Aware IoT Service for Live Video Analytics", 8th ACM Multimedia Systems Conference (MMSys 2017), Jun 2017 [pdf]
P. Pappachan, M. Degeling, R. Yus, A. Das, S. Bhagavatula, W. Melicher, P. Emami-Naeini, S. Zhang, L. Bauer, A. Kobsa, S. Mehrotra, N. Sadeh and N. 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 [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 [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]