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ORCIDJonathan R. Mayer
Person information
- affiliation: Princeton University, Department of Computer Science, NJ, USA
- affiliation: Stanford University, Department of Computer Science, CA, USA
- affiliation: Stanford University, Law School, CA, USA
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2020 – today
- 2024
[c14]Sarah Scheffler
, Jonathan R. Mayer:
Group Moderation Under End-to-End Encryption. CSLAW 2024: 36-47- 2023
- [j4]Sarah Scheffler, Jonathan R. Mayer:
SoK: Content Moderation for End-to-End Encryption. Proc. Priv. Enhancing Technol. 2023(2): 403-429 (2023) - [c13]Sarah Scheffler, Anunay Kulshrestha, Jonathan R. Mayer:
Public Verification for Private Hash Matching. SP 2023: 253-273 - [c12]Madelyne Xiao, Mona Wang, Anunay Kulshrestha, Jonathan R. Mayer:
Account Verification on Social Media: User Perceptions and Paid Enrollment. USENIX Security Symposium 2023: 3099-3116 - [i13]Sarah Scheffler, Jonathan R. Mayer:
SoK: Content Moderation for End-to-End Encryption. CoRR abs/2303.03979 (2023) - [i12]Madelyne Xiao, Mona Wang, Anunay Kulshrestha, Jonathan R. Mayer:
Account Verification on Social Media: User Perceptions and Paid Enrollment. CoRR abs/2304.14939 (2023) - [i11]Madelyne Xiao, Jonathan R. Mayer:
The Challenges of Machine Learning for Trust and Safety: A Case Study on Misinformation Detection. CoRR abs/2308.12215 (2023) - [i10]Sarah Scheffler, Anunay Kulshrestha, Jonathan R. Mayer:
Public Verification for Private Hash Matching. IACR Cryptol. ePrint Arch. 2023: 29 (2023) - 2022
- [c11]Ram Sundara Raman, Mona Wang, Jakub Dalek, Jonathan R. Mayer, Roya Ensafi:
Network measurement methods for locating and examining censorship devices. CoNEXT 2022: 18-34 - [c10]Anunay Kulshrestha, Jonathan R. Mayer:
Estimating Incidental Collection in Foreign Intelligence Surveillance: Large-Scale Multiparty Private Set Intersection with Union and Sum. USENIX Security Symposium 2022: 1705-1722 - [i9]Mona Wang, Jonathan R. Mayer:
Self-Censorship Under Law: A Case Study of The Hong Kong National Security Law. CoRR abs/2210.11636 (2022) - [i8]Anne Kohlbrenner, Ben Kaiser, Kartikeya Kandula, Rebecca Weiss, Jonathan R. Mayer, Ted Han, Robert Helmer:
Rally and WebScience: A Platform and Toolkit for Browser-Based Research on Technology and Society Problems. CoRR abs/2211.02274 (2022) - 2021
- [c9]Arunesh Mathur, Mihir Kshirsagar, Jonathan R. Mayer:
What Makes a Dark Pattern... Dark?: Design Attributes, Normative Considerations, and Measurement Methods. CHI 2021: 360:1-360:18 - [c8]Anunay Kulshrestha, Jonathan R. Mayer:
Identifying Harmful Media in End-to-End Encrypted Communication: Efficient Private Membership Computation. USENIX Security Symposium 2021: 893-910 - [c7]Ben Kaiser, Jerry Wei, Eli Lucherini, Kevin Lee, J. Nathan Matias, Jonathan R. Mayer:
Adapting Security Warnings to Counter Online Disinformation. USENIX Security Symposium 2021: 1163-1180 - [c6]Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer:
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. WWW 2021: 2165-2176 - [i7]Arunesh Mathur, Jonathan R. Mayer, Mihir Kshirsagar:
What Makes a Dark Pattern... Dark? Design Attributes, Normative Considerations, and Measurement Methods. CoRR abs/2101.04843 (2021) - 2020
- [c5]David J. Major, Ross Teixeira, Jonathan R. Mayer:
No WAN's Land: Mapping U.S. Broadband Coverage with Millions of Address Queries to ISPs. Internet Measurement Conference 2020: 393-419 - [c4]Kevin Lee, Benjamin Kaiser, Jonathan R. Mayer, Arvind Narayanan:
An Empirical Study of Wireless Carrier Authentication for SIM Swaps. SOUPS @ USENIX Security Symposium 2020: 61-79 - [c3]Austin Hounsel, Jordan Holland, Ben Kaiser, Kevin Borgolte, Nick Feamster, Jonathan R. Mayer:
Identifying Disinformation Websites Using Infrastructure Features. FOCI @ USENIX Security Symposium 2020 - [i6]Austin Hounsel, Jordan Holland, Ben Kaiser, Kevin Borgolte, Nick Feamster, Jonathan R. Mayer:
Supporting Early and Scalable Discovery of Disinformation Websites. CoRR abs/2003.07684 (2020) - [i5]Jordan Holland, Ross Teixeira, Paul Schmitt, Kevin Borgolte, Jennifer Rexford, Nick Feamster, Jonathan R. Mayer:
Classifying Network Vendors at Internet Scale. CoRR abs/2006.13086 (2020) - [i4]Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer:
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. CoRR abs/2008.09159 (2020) - [i3]Ben Kaiser, Jerry Wei, Elena Lucherini, Kevin Lee, J. Nathan Matias, Jonathan R. Mayer:
Adapting Security Warnings to Counter Online Disinformation. CoRR abs/2008.10772 (2020)
2010 – 2019
- 2019
- [j3]Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan:
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. Proc. ACM Hum. Comput. Interact. 3(CSCW): 81:1-81:32 (2019) - [i2]Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan R. Mayer, Marshini Chetty, Arvind Narayanan:
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites. CoRR abs/1907.07032 (2019) - 2018
- [b1]Jonathan R. Mayer:
Empirical evaluation of privacy regulation. Stanford University, USA, 2018 - 2017
- [i1]Grant Storey, Dillon Reisman, Jonathan R. Mayer, Arvind Narayanan:
The Future of Ad Blocking: An Analytical Framework and New Techniques. CoRR abs/1705.08568 (2017) - 2016
- [j2]Jonathan R. Mayer, Patrick Mutchler, John C. Mitchell:
Evaluating the privacy properties of telephone metadata. Proc. Natl. Acad. Sci. USA 113(20): 5536-5541 (2016) - 2015
- [c2]Steven Englehardt, Dillon Reisman, Christian Eubank, Peter Zimmerman, Jonathan R. Mayer, Arvind Narayanan, Edward W. Felten:
Cookies That Give You Away: The Surveillance Implications of Web Tracking. WWW 2015: 289-299 - 2013
- [j1]Jonathan R. Mayer:
The New Firefox Cookie Policy. XRDS 20(1): 16-17 (2013) - 2012
- [c1]Jonathan R. Mayer, John C. Mitchell:
Third-Party Web Tracking: Policy and Technology. IEEE Symposium on Security and Privacy 2012: 413-427
Coauthor Index
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