Speech recordings are a rich source of personal, sensitive data that can be used to support
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …

Content-based image retrieval (CBIR) uses image content features to search and retrieve
digital images from a large database. A variety of visual feature extraction techniques have …

We propose a privacy protection framework for large-scale content-based information
retrieval. It offers two layers of protection. First, robust hash values are used as queries to …

Comparing two signals is one of the most essential and prevalent tasks in signal processing.
A large number of applications fundamentally rely on determining the answers to the …

Nearest neighbor search is a fundamental building-block for a wide range of applications. A
privacy-preserving protocol for nearest neighbor search involves a set of clients who send …

The widespread application of biometric recognition has emerged solid protection on the
privacy of biometric templates. Non-invertible transformations such as random projections …

The outsourcing of machine learning classification and data mining tasks can be an effective
solution for those parties that need machine learning services, but lack the appropriate …

Similarity search is essential to many important applications and often involves searching at
scale on high-dimensional data based on their similarity to a query. In biometric …

In image retrieval applications for multi-users, users can retrieve similar images in a
database. The server can collude with the user and exploit the search patterns to infer the …

This work proposes a privacy-protection framework for an important application called
outsourced media search. This scenario involves a data owner, a client, and an untrusted …