649 citations · 1.1k across the 15 of their papers we have counts for
16 papers
How Should We Support Designing Privacy-Friendly Apps for Children? Using a Research through Design Process to Understand Developers' Needs and Challenges
Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek
Mobile apps used by children often make use of harmful techniques, such as data tracking and targeted advertising. Previous research has suggested that developers face several syst…
Before and after China's new Data Laws: Privacy in Apps
Konrad Kollnig, Lu Zhang, Jun Zhao +1
Privacy in apps is a topic of widespread interest because many apps collect and share large amounts of highly sensitive information. In response, China introduced a range of new da…
Trust Explanations to Do What They Say
Neil Natarajan, Reuben Binns, Jun Zhao +1
How much are we to trust a decision made by an AI algorithm? Trusting an algorithm without cause may lead to abuse, and mistrusting it may similarly lead to disuse. Trust in an AI…
Connected Vehicles: A Privacy Analysis
Mark Quinlan, Jun Zhao, Andrew Simpson
Just as the world of consumer devices was forever changed by the introduction of computer controlled solutions, the introduction of the engine control unit (ECU) gave rise to the a…
Before and after GDPR: tracking in mobile apps
Konrad Kollnig, Reuben Binns, Max Van Kleek +4
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 Protectio…
"Money makes the world go around'': Identifying Barriers to Better Privacy in Children's Apps From Developers' Perspectives
Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek
The industry for children's apps is thriving at the cost of children's privacy: these apps routinely disclose children's data to multiple data trackers and ad networks. As children…