Elham Al Qahtani, Peter Story, Mohamed Shehab, “The Impact of Risk Appeal Approaches on Users’ Sharing Confidential Information,” Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI 2024), May 2024

Peter Story, Kat Andler, Andrew Hart, Melissa Hanson, “The Bright and Dark Patterns of Design,” Challenge. Change. Podcast, March 2024 [link]

Adryana Hutchinson, Jinwei Tang, Adam J. Aviv, Peter Story, “Measuring the Prevalence of Password Manager Issues Using In-Situ Experiments,” Symposium on Usable Security and Privacy (USEC 2024), February 2024 [link]

Peter Story, “Building an Affordable Data Diode to Protect Journalists,” Workshop on Privacy Engineering in Practice (PEP '23), August 2023 [link]

Peter Story, “Web Accessibility Evaluations,” ACM EngageCSEdu, vol. 2, no. 1, May 2023 [link]

Peter Story, Daniel Smullen, Rex Chen, Yaxing Yao, Alessandro Acquisti, Lorrie Faith Cranor, Norman Sadeh, and Florian Schaub, “Increasing Adoption of Tor Browser Using Informational and Planning Nudges,” Proceedings on Privacy Enhancing Technologies Symposium (PoPETS 2022), no. 2, July 2022 [link]

Siddhant Arora, Henry Hosseini, Christine Utz, Vinayshekhar Bannihatti Kumar, Tristan Dhellemmes, Abhilasha Ravichander, Peter Story, Jasmine Mangat, Rex Chen, Martin Degeling, Thomas Norton, Thomas Hupperich, Shomir Wilson, and Norman Sadeh, “A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus,” Proceedings of the Thirteenth Language Resources and Evaluation Conference (LREC 2022), June 2022 [link]

Peter Story, “Design and Evaluation of Security and Privacy Nudges: From Protection Motivation Theory to Implementation Intentions,” Thesis, August 2021 [link]

Peter Story, Daniel Smullen, Yaxing Yao, Alessandro Acquisti, Lorrie Faith Cranor, Norman Sadeh, and Florian Schaub, “Awareness, Adoption, and Misconceptions of Web Privacy Tools,” Proceedings on Privacy Enhancing Technologies Symposium (PoPETS 2021), no. 3, July 2021 [link]

Peter Story, “Design and Evaluation of Security and Privacy Nudges: From Protection Motivation Theory to Implementation Intentions,” Thesis Proposal, December 2020 [link]

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), August 2020 [link]

Vinayshekhar Bannihatti Kumar, Roger Iyengar, Namita Nisal, Yuanyuan Feng, Hana Habib, Peter Story, Sushain Cherivirala, Margaret Hagan, Lorrie Faith Cranor, Shomir Wilson, Florian Schaub, Norman Sadeh, “Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text,” WWW '20, April 2020 [link]

Peter Story, “Government Use of AI: Costs and Benefits of Transparency,” ACM Symposium on Computer Science and Law, Student Poster Session, October 2019 [link]

Sebastian Zimmeck, Peter Story, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N. Cameron Russell, Norman Sadeh, “MAPS: Scaling Privacy Compliance Analysis to a Million Apps,” Proceedings on Privacy Enhancing Technologies Symposium (PoPETS 2019), no. 3, July 2019 [link]

Sebastian Zimmeck, Peter Story, Rafael Goldstein, David Baraka, Shaoyan Li, Yuanyuan Feng, Norman Sadeh, “Compliance Traceability: Privacy Policies as Software Development Artifacts,” Extended Abstract at the Open Day for Privacy, Usability, and Transparency (PUT 2019), July 2019 [link]

Peter Story, Sebastian Zimmeck, Abhilasha Ravichander, Daniel Smullen, Ziqi Wang, Joel Reidenberg, N. Cameron Russell, Norman Sadeh, “Natural Language Processing for Mobile App Privacy Compliance,” AAAI Spring Symposium on Privacy Enhancing AI and Language Technologies (PAL 2019), March 2019 [link]

Vinayshekhar Kumar, Abhilasha Ravichander, Peter Story, Norman Sadeh, “Quantifying the Effect of In-Domain Distributed Word Representations: A Study of Privacy Policies,” AAAI Spring Symposium on Privacy Enhancing AI and Language Technologies (PAL 2019), March 2019 [link]

Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman Sadeh, Noah A. Smith, “Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations,” ACM Transactions on the Web, vol. 13, no. 1, December 2018 [link]

Frederick Liu, Shomir Wilson, Peter Story, Sebastian Zimmeck and Norman Sadeh, “Towards Automatic Classification of Privacy Policy Text,” Carnegie Mellon University Technical Report CMU-ISR-17-118R and CMU-LTI-17-010, Institute for Software Research and Language Technologies Institute, School of Computer Science, June 2018 [link]

Peter Story, Sebastian Zimmeck, Norman Sadeh, “Which Apps have Privacy Policies?,” Annual Privacy Forum, June 2018 [link]

Peter Story, Sebastian Zimmeck, Norman Sadeh, “Which Apps have Privacy Policies?,” Carnegie Mellon University Technical Report CMU-ISR-18-100R, Institute for Software Research, School of Computer Science, February 2018 [link]

Peter Story, Sebastian Zimmeck, Norman Sadeh, “Which Apps have Privacy Policies?,” FTC PrivacyCon Poster Session, February 2018 [link]

Alessandro Oltramari, Dhivya Piraviperumal, Florian Schaub, Shomir Wilson, Sushain Cherivirala, Thomas B. Norton, N. Cameron Russell, Peter Story, Joel Reidenberg, Norman Sadeh, “PrivOnto: A Semantic Framework for the Analysis of Privacy Policies,” Semantic Web, vol. 9, no. 2, January 2018 [link]

Kanthashree Mysore Sathyendra, Abhilasha Ravichander, Peter Garth Story, Alan W Black, Norman Sadeh, “Helping Users Understand Privacy Notices with Automated Question Answering Functionality: An Exploratory Study,” Carnegie Mellon University Technical Report CMU-ISR-17-114R and CMU-LTI-17-005, Institute for Software Research and Language Technologies Institute, School of Computer Science, December 2017 [link]