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Peter Story
Peter Story
Assistant Professor, Clark University
Verified email at clarku.edu - Homepage
Title
Cited by
Cited by
Year
MAPS: Scaling privacy compliance analysis to a million apps
S Zimmeck, P Story, D Smullen, A Ravichander, Z Wang, J Reidenberg, ...
Proceedings on Privacy Enhancing Technologies 2019 (3), 66-86, 2019
1082019
PrivOnto: A semantic framework for the analysis of privacy policies
A Oltramari, D Piraviperumal, F Schaub, S Wilson, S Cherivirala, ...
Semantic Web 9 (2), 185-203, 2018
872018
Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text
V Bannihatti Kumar, R Iyengar, N Nisal, Y Feng, H Habib, P Story, ...
Proceedings of The Web Conference 2020, 1943-1954, 2020
442020
CMU-ISR-17-118R
F Liu, S Wilson, P Story, S Zimmeck, N Sadeh
24*
Analyzing privacy policies at scale: From crowdsourcing to automated annotations
S Wilson, F Schaub, F Liu, KM Sathyendra, D Smullen, S Zimmeck, ...
ACM Transactions on the Web (TWEB) 13 (1), 1-29, 2018
222018
Natural language processing for mobile app privacy compliance
P Story, S Zimmeck, A Ravichander, D Smullen, Z Wang, J Reidenberg, ...
AAAI Spring Symposium on Privacy-Enhancing Artificial Intelligence and …, 2019
192019
From Intent to Action: Nudging Users Towards Secure Mobile Payments
P Story, D Smullen, A Acquisti, LF Cranor, N Sadeh, F Schaub
Sixteenth Symposium on Usable Privacy and Security ({SOUPS} 2020), 379-415, 2020
172020
Which Apps have Privacy Policies?
P Story, S Zimmeck, N Sadeh
Annual Privacy Forum, 3-23, 2018
152018
Awareness, Adoption, and Misconceptions of Web Privacy Tools
P Story, D Smullen, Y Yao, A Acquisti, LF Cranor, N Sadeh, F Schaub
Proceedings on Privacy Enhancing Technologies 3, 307-332, 2021
132021
Helping users understand privacy notices with automated query answering functionality: An exploratory study
KM Sathyendra, A Ravichander, PG Story, AW Black, N Sadeh
Technical Report, 2017
82017
Quantifying the Effect of In-Domain Distributed Word Representations: A Study of Privacy Policies
VB Kumar, A Ravichander, P Story, N Sadeh
AAAI Spring Symposium on Privacy-Enhancing Artificial Intelligence and …, 2019
72019
Compliance traceability: Privacy policies as software development artifacts
S Zimmeck, P Story, R Goldstein, D Baraka, S Li, Y Feng, N Sadeh
22019
Design and Evaluation of Security and Privacy Nudges: From Protection Motivation Theory to Implementation Intentions
P Story
12020
Increasing Adoption of Tor Browser Using Informational and Planning Nudges
P Story, D Smullen, R Chen, Y Yao, A Acquisti, LF Cranor, N Sadeh, ...
Proceedings on Privacy Enhancing Technologies 2, 1-32, 2022
2022
Government Use of AI: Costs and Benefits of Transparency
P Story
CMU-ISR-18-100R
P Story, S Zimmeck, N Sadeh
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