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Cited By

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Khandelwal RNayak AChung PFawaz KBalzarotti DXu W(2024)Unpacking privacy labelsProceedings of the 33rd USENIX Conference on Security Symposium10.5555/3698900.3699059(2831-2848)Online publication date: 14-Aug-2024
https://dl.acm.org/doi/10.5555/3698900.3699059
Zhang SKlucinec LNorton KSadeh NCranor LKelley PKapadia A(2024)Exploring expandable-grid designs to make iOS app privacy labels more usableProceedings of the Twentieth USENIX Conference on Usable Privacy and Security10.5555/3696899.3696907(139-157)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.5555/3696899.3696907
Krämer J(2024)The death of privacy policies: How app stores shape GDPR compliance of appsInternet Policy Review10.14763/2024.2.175713:2Online publication date: 2-Apr-2024
https://doi.org/10.14763/2024.2.1757
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Mobile-app privacy nutrition labels missing key ingredients for success
1. Software and its engineering
  1. Software creation and management
    1. Designing software

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Communications of the ACM Volume 65, Issue 11

November 2022

130 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3569027

Editor:
James Larus
Association for Computing Machinery, New York, NY

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Khandelwal RNayak AChung PFawaz KBalzarotti DXu W(2024)Unpacking privacy labelsProceedings of the 33rd USENIX Conference on Security Symposium10.5555/3698900.3699059(2831-2848)Online publication date: 14-Aug-2024
https://dl.acm.org/doi/10.5555/3698900.3699059
Zhang SKlucinec LNorton KSadeh NCranor LKelley PKapadia A(2024)Exploring expandable-grid designs to make iOS app privacy labels more usableProceedings of the Twentieth USENIX Conference on Usable Privacy and Security10.5555/3696899.3696907(139-157)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.5555/3696899.3696907
Krämer J(2024)The death of privacy policies: How app stores shape GDPR compliance of appsInternet Policy Review10.14763/2024.2.175713:2Online publication date: 2-Apr-2024
https://doi.org/10.14763/2024.2.1757
Chen CShu DRavishankar HLi XAgarwal YCranor L(2024)Is a Trustmark and QR Code Enough? The Effect of IoT Security and Privacy Label Information Complexity on Consumer Comprehension and BehaviorProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642011(1-32)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642011
Speith TSpeith JBecker SZou YBiega APaar C(2024)Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW)2024 IEEE 32nd International Requirements Engineering Conference (RE)10.1109/RE59067.2024.00042(354-362)Online publication date: 24-Jun-2024
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Furnell S(2024)Usable Cybersecurity: a Contradiction in Terms?Interacting with Computers10.1093/iwc/iwad03536:1(3-15)Online publication date: 23-Jan-2024
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Windl MScheidle AGeorge CMayer SKelley PKapadia A(2023)Investigating security indicators for hyperlinking within the metaverseProceedings of the Nineteenth USENIX Conference on Usable Privacy and Security10.5555/3632186.3632219(605-620)Online publication date: 7-Aug-2023
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Khandelwal RNayak AChung PFawaz KKnijnenburg BPapadimitratos P(2023)Comparing Privacy Labels of Applications in Android and iOSProceedings of the 22nd Workshop on Privacy in the Electronic Society10.1145/3603216.3624967(61-73)Online publication date: 26-Nov-2023
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Windl MWinterhalter VSchmidt AMayer S(2023)Understanding and Mitigating Technology-Facilitated Privacy Violations in the Physical WorldProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580909(1-16)Online publication date: 19-Apr-2023
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Rodriguez DJain AAlamo JSadeh N(2023)Comparing Privacy Label Disclosures of Apps Published in both the App Store and Google Play Stores2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)10.1109/EuroSPW59978.2023.00022(150-157)Online publication date: Jul-2023
https://doi.org/10.1109/EuroSPW59978.2023.00022

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Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels

An empirical study of privacy labels on the Apple iOS mobile app store

Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data

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