AI techniques are increasingly being used to identify individuals both offline and online.
However, quantifying their effectiveness at scale and, by extension, the risks they pose …

Open data sets that contain personal information are susceptible to adversarial attacks even
when anonymized. By performing low-cost joins on multiple datasets with shared attributes …

Background In China, the current situation of myopia among children and adolescents is
very serious. Prevention and control of myopia are inhibited by the lack of medical resources …

Collective privacy loss becomes a colossal problem, an emergency for personal freedoms
and democracy. But, are we prepared to handle personal data as scarce resource and …

Due to usage of self-reported data which may contain biasness, the existing studies may not
unveil the exact relation between academic grades and app categories such as Video …

Growing research on re-identification through app usage behavior reveals the privacy threat
in having smartphone usage data to third parties. However, re-identifiability of a vulnerable …

Background Understanding a student's depressive symptoms could facilitate significantly
more precise diagnosis and treatment. However, few studies have focused on depressive …

With the prosperity of the mobile Internet, the abundance of data makes it difficult for users to
choose their favorite app. Thus, mobile app recommendation as an emerging topic attracts …