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Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy
  Labels
v1v2v3v4 (latest)

Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels

7 April 2022
Konrad Kollnig
A. Shuba
Max Van Kleek
Reuben Binns
N. Shadbolt
    MQ
ArXiv (abs)PDFHTML

Papers citing "Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels"

16 / 16 papers shown
Title
Modeling Churn in Recommender Systems with Aggregated Preferences
Modeling Churn in Recommender Systems with Aggregated Preferences
Gur Keinan
Omer Ben-Porat
72
0
0
09 Feb 2025
From Ad Identifiers to Global Privacy Control: The Status Quo and Future of Opting Out of Ad Tracking on Android
From Ad Identifiers to Global Privacy Control: The Status Quo and Future of Opting Out of Ad Tracking on Android
Sebastian Zimmeck
Nishant Aggarwal
Zachary Liu
Konrad Kollnig
123
0
0
28 Jan 2025
Fingerprinting and Tracing Shadows: The Development and Impact of
  Browser Fingerprinting on Digital Privacy
Fingerprinting and Tracing Shadows: The Development and Impact of Browser Fingerprinting on Digital Privacy
Alexander Lawall
77
0
0
18 Nov 2024
Models Matter: Setting Accurate Privacy Expectations for Local and
  Central Differential Privacy
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Mary Anne Smart
Priyanka Nanayakkara
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
63
1
0
16 Aug 2024
A Solution toward Transparent and Practical AI Regulation: Privacy
  Nutrition Labels for Open-source Generative AI-based Applications
A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications
Meixue Si
Shidong Pan
Dianshu Liao
Xiaoyu Sun
Zhenyuan Tao
Wenchang Shi
Zhenchang Xing
85
6
0
22 Jul 2024
From Model Performance to Claim: How a Change of Focus in Machine
  Learning Replicability Can Help Bridge the Responsibility Gap
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
126
1
0
19 Apr 2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard
Matthew Fahrbach
Vahab Mirrokni
58
3
0
07 Feb 2024
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels
Tianshi Li
Lorrie Faith Cranor
Yuvraj Agarwal
Jason I. Hong
50
3
0
05 Feb 2024
Data Safety vs. App Privacy: Comparing the Usability of Android and iOS
  Privacy Labels
Data Safety vs. App Privacy: Comparing the Usability of Android and iOS Privacy Labels
Yanzi Lin
Jaideep Juneja
Eleanor Birrell
Lorrie Faith Cranor
ELM
59
10
0
06 Dec 2023
Honesty is the Best Policy: On the Accuracy of Apple Privacy Labels
  Compared to Apps' Privacy Policies
Honesty is the Best Policy: On the Accuracy of Apple Privacy Labels Compared to Apps' Privacy Policies
M. M. Ali
David G. Balash
Monica Kodwani
Chris Kanich
Adam J. Aviv
26
3
0
29 Jun 2023
ATLAS: Automatically Detecting Discrepancies Between Privacy Policies
  and Privacy Labels
ATLAS: Automatically Detecting Discrepancies Between Privacy Policies and Privacy Labels
Akshatha Jain
David Rodríguez Torrado
J. D. Álamo
Norman M. Sadeh
62
14
0
24 May 2023
Priorities for more effective tech regulation
Priorities for more effective tech regulation
Konrad Kollnig
AILaw
28
0
0
27 Feb 2023
Before and after China's new Data Laws: Privacy in Apps
Before and after China's new Data Laws: Privacy in Apps
Konrad Kollnig
Lu Zhang
Jun Zhao
N. Shadbolt
3DPCAILaw
50
4
0
27 Feb 2023
Formal Analysis of the API Proxy Problem
Formal Analysis of the API Proxy Problem
S. Jha
Mihai Christodorescu
A. Pham
38
0
0
27 Feb 2023
TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling
  of Machine Learning Datasets
TruEyes: Utilizing Microtasks in Mobile Apps for Crowdsourced Labeling of Machine Learning Datasets
Chandramohan Sudar
Michael Fröhlich
Florian Alt
HAI
26
1
0
29 Sep 2022
Longitudinal Analysis of Privacy Labels in the Apple App Store
Longitudinal Analysis of Privacy Labels in the Apple App Store
David G. Balash
M. M. Ali
Xiaoyuan Wu
Chris Kanich
Adam J. Aviv
Adam J. Aviv
67
11
0
06 Jun 2022
1