Xiaoyuan Wu (Carnegie Mellon University), Lydia Hu (Carnegie Mellon University), Eric Zeng (Carnegie Mellon University), Hana Habib (Carnegie Mellon University), Lujo Bauer (Carnegie Mellon University)

Apple's App Privacy Report (``privacy report''), released in 2021, aims to
inform iOS users about apps' access to their data and sensors (e.g., contacts,
camera) and, unlike other privacy dashboards, what domains are contacted by apps and websites. To evaluate the
effectiveness of the privacy report, we conducted semi-structured interviews
(textit{n} = 20) to examine users' reactions to the information, their understanding of relevant privacy
implications, and how they might change
their behavior to address privacy concerns. Participants easily understood which
apps accessed data and sensors at certain times on their phones, and knew how to
remove an app's permissions in case of unexpected access. In contrast,
participants had difficulty understanding apps' and websites' network
activities. They were confused about how and why network activities occurred,
overwhelmed by the number of domains their apps contacted, and uncertain about
what remedial actions they could take against potential privacy threats. While
the privacy report and similar tools can increase transparency by presenting
users with details about how their data is handled, we recommend providing more
interpretation or aggregation of technical details, such as the purpose of
contacting domains, to help users make informed decisions.

View More Papers

TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents

Chen Gong (University of Vriginia), Kecen Li (Chinese Academy of Sciences), Jin Yao (University of Virginia), Tianhao Wang (University of Virginia)

Read More

Secure IP Address Allocation at Cloud Scale

Eric Pauley (University of Wisconsin–Madison), Kyle Domico (University of Wisconsin–Madison), Blaine Hoak (University of Wisconsin–Madison), Ryan Sheatsley (University of Wisconsin–Madison), Quinn Burke (University of Wisconsin–Madison), Yohan Beugin (University of Wisconsin–Madison), Engin Kirda (Northeastern University), Patrick McDaniel (University of Wisconsin–Madison)

Read More

The Midas Touch: Triggering the Capability of LLMs for...

Yi Yang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Jinghua Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai Chen (Institute of Information Engineering, Chinese Academy of…

Read More