Goodbye tracking? Impact of iOS app tracking transparency and privacy labels

K Kollnig, A Shuba, M Van Kleek, R Binns… - Proceedings of the …, 2022 - dl.acm.org
Tracking is a highly privacy-invasive data collection practice that has been ubiquitous in
mobile apps for many years due to its role in supporting advertising-based revenue models …

Are iphones really better for privacy? comparative study of ios and android apps

K Kollnig, A Shuba, R Binns, M Van Kleek… - arXiv preprint arXiv …, 2021 - arxiv.org
While many studies have looked at privacy properties of the Android and Google Play app
ecosystem, comparatively much less is known about iOS and the Apple App Store, the most …

Adgraph: A graph-based approach to ad and tracker blocking

U Iqbal, P Snyder, S Zhu, B Livshits… - … IEEE Symposium on …, 2020 - ieeexplore.ieee.org
User demand for blocking advertising and tracking online is large and growing. Existing
tools, both deployed and described in research, have proven useful, but lack either the …

Before and after GDPR: tracking in mobile apps

K Kollnig, R Binns, M Van Kleek, U Lyngs… - arXiv preprint arXiv …, 2021 - arxiv.org
Third-party tracking, the collection and sharing of behavioural data about individuals, is a
significant and ubiquitous privacy threat in mobile apps. The EU General Data Protection …

A fait accompli? an empirical study into the absence of consent to {Third-Party} tracking in android apps

K Kollnig, P Dewitte, M Van Kleek, G Wang… - … Symposium on Usable …, 2021 - usenix.org
Third-party tracking allows companies to collect users' behavioural data and track their
activity across digital devices. This can put deep insights into users' private lives into the …

{OVRseen}: Auditing network traffic and privacy policies in oculus {VR}

R Trimananda, H Le, H Cui, JT Ho, A Shuba… - 31st USENIX security …, 2022 - usenix.org
Virtual reality (VR) is an emerging technology that enables new applications but also
introduces privacy risks. In this paper, we focus on Oculus VR (OVR), the leading platform in …

Fedpacket: A federated learning approach to mobile packet classification

E Bakopoulou, B Tillman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve mobile data transparency, various approaches have been proposed to
inspect network traffic generated by mobile devices and detect exposure of personally …

{WebGraph}: Capturing advertising and tracking information flows for robust blocking

S Siby, U Iqbal, S Englehardt, Z Shafiq… - 31st USENIX Security …, 2022 - usenix.org
Users rely on ad and tracker blocking tools to protect their privacy. Unfortunately, existing ad
and tracker blocking tools are susceptible to mutable advertising and tracking content. In this …

The representativeness of automated web crawls as a surrogate for human browsing

D Zeber, S Bird, C Oliveira, W Rudametkin… - Proceedings of The …, 2020 - dl.acm.org
Large-scale Web crawls have emerged as the state of the art for studying characteristics of
the Web. In particular, they are a core tool for online tracking research. Web crawling is an …

Wtagraph: Web tracking and advertising detection using graph neural networks

Z Yang, W Pei, M Chen, C Yue - 2022 IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Web tracking and advertising (WTA) nowadays are ubiquitously performed on the web,
continuously compromising users' privacy. Existing defense solutions, such as widely …