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D-Index & Metrics

Computer Science

D-Index
42
Citations
6705
World Ranking
8462
National Ranking
3616

Overview

Blase Ur is affiliated with the University of Chicago in the United States and works primarily within the fields of Computer Science and Social Sciences. Their research spans various subfields, including Sociology and Political Science, Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, and Software.

Their research topics cover a range of areas such as Privacy, Security, and Data Protection, Mobile Crowdsensing and Crowdsourcing, Context-Aware Activity Recognition Systems, Spreadsheets and End-User Computing, Innovative Human-Technology Interaction, Green IT and Sustainability, and Social Media and Politics.

Blase Ur's recent publications include:

  • "Who Am I?" (2021), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Trace2TAP" (2020), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Helping Users Debug Trigger-Action Programs" (2022), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Perceptions of Retrospective Edits, Changes, and Deletion on Social Media" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "What Does It Mean to Be Creepy? Responses to Visualizations of Personal Browsing Activity, Online Tracking, and Targeted Ads" (2024), Proceedings on Privacy Enhancing Technologies

The frequent co-authors collaborating with Blase Ur include Michael L. Littman, Lefan Zhang, Shan Lu, Natã M. Barbosa, and Gang Wang.

Their work has appeared in several publication venues, primarily:

  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings on Privacy Enhancing Technologies
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Best Publications

  • Smart, useful, scary, creepy: perceptions of online behavioral advertising

    Blase Ur;Pedro Giovanni Leon;Lorrie Faith Cranor;Richard Shay

  • Practical trigger-action programming in the smart home

    Blase Ur;Elyse McManus;Melwyn Pak Yong Ho;Michael L. Littman

  • How does your password measure up? the effect of strength meters on password creation

    Blase Ur;Patrick Gage Kelley;Saranga Komanduri;Joel Lee

  • Measuring password guessability for an entire university

    Michelle L. Mazurek;Saranga Komanduri;Timothy Vidas;Lujo Bauer

  • Fast, lean, and accurate: modeling password guessability using neural networks

    William Melicher;Blase Ur;Sean M. Segreti;Saranga Komanduri

  • Trigger-Action Programming in the Wild: An Analysis of 200,000 IFTTT Recipes

    Blase Ur;Melwyn Pak Yong Ho;Stephen Brawner;Jiyun Lee

  • Why Johnny can't opt out: a usability evaluation of tools to limit online behavioral advertising

    Pedro Leon;Blase Ur;Richard Shay;Yang Wang

  • Do Users' Perceptions of Password Security Match Reality?

    Blase Ur;Jonathan Bees;Sean M. Segreti;Lujo Bauer

  • SmartAuth: User-Centered Authorization for the Internet of Things

    Yuan Tian;Nan Zhang;Yueh-Hsun Lin;Xiaofeng Wang

  • “I added '!' at the end to make it secure”: observing password creation in the lab

    Blase Ur;Fumiko Noma;Jonathan Bees;Sean M. Segreti

  • Tag, you can see it!: using tags for access control in photo sharing

    Peter Klemperer;Yuan Liang;Michelle Mazurek;Manya Sleeper

  • Can long passwords be secure and usable

    Richard Shay;Saranga Komanduri;Adam L. Durity;Phillip (Seyoung) Huh

  • Measuring real-world accuracies and biases in modeling password guessability

    Blase Ur;Sean M. Segreti;Lujo Bauer;Nicolas Christin

  • What matters to users?: factors that affect users' willingness to share information with online advertisers

    Pedro Giovanni Leon;Blase Ur;Yang Wang;Manya Sleeper

  • Correct horse battery staple: exploring the usability of system-assigned passphrases

    Richard Shay;Patrick Gage Kelley;Saranga Komanduri;Michelle L. Mazurek

  • Rethinking Access Control and Authentication for the Home Internet of Things (IoT)

    Weijia He;Maximilian Golla;Roshni Padhi;Jordan Ofek

  • Biometric authentication on iPhone and Android: Usability, perceptions, and influences on adoption

    Rasekhar Bhagavatula;Blase Ur;Kevin Iacovino;Su Mon Kywe

  • Designing Password Policies for Strength and Usability

    Richard Shay;Saranga Komanduri;Adam L. Durity;Phillip (Seyoung) Huh

  • "i read my Twitter the next morning and was astonished": a conversational perspective on Twitter regrets

    Manya Sleeper;Justin Cranshaw;Patrick Gage Kelley;Blase Ur

  • Design and Evaluation of a Data-Driven Password Meter

    Blase Ur;Felicia Alfieri;Maung Aung;Lujo Bauer

  • The Current State of Access Control for Smart Devices in Homes

    Blase Ur;Jaeyeon Jung;Stuart Schechter

  • Measuring Password Guessability for an Entire University (CMU-CyLab-13-013)

    Michelle L. Mazurek;Saranga Komanduri;Tim Vidas;Lujo Bauer

Frequent Co-Authors

Lorrie Faith Cranor
Lorrie Faith Cranor Carnegie Mellon University
Lujo Bauer
Lujo Bauer Carnegie Mellon University
Nicolas Christin
Nicolas Christin Carnegie Mellon University
Michael L. Littman
Michael L. Littman Brown University
Patrick Gage Kelley
Patrick Gage Kelley University of New Mexico
Shan Lu
Shan Lu University of Chicago
Kyle Chard
Kyle Chard University of Chicago
Sascha Fahl
Sascha Fahl Helmholtz Center for Information Security
Michael K. Reiter
Michael K. Reiter Duke University
Norman Sadeh
Norman Sadeh Carnegie Mellon University

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