As location data have been increasingly adopted in location-based advertising (LBA),
revealing locations to untrusted service providers has raised severe privacy concerns …

Transforming off-the-shelf deep neural network (DNN) models into dynamic multi-exit
architectures can achieve inference and transmission efficiency by fragmenting and …

In edge computing, a user prefers offloading his/her task to nearby edge servers to maximize
the offloading utility. However, this inevitably exposes the user's location privacy information …

Existing secure data outsourcing systems offer users ways to select from different
cryptographic primitives supported by the system to encrypt their data to strike a balance …

Simply restricting the computation to non-sensitive part of the data may lead to inferences on
sensitive data through data dependencies. Prior work on preventing inference control …

Differential privacy (DP) offers a robust framework for protecting individual privacy when
analyzing data. However, the elegant abstractions used in DP theory do not always translate …

Recent years have witnessed the adoption of differential privacy (DP) in practical database
query systems. Such systems, like PrivateSQL and FLEX, allow data analysts to query …