Tiptoe is a private web search engine that allows clients to search over hundreds of millions
of documents, while revealing no information about their search query to the search engine's …

Many organizations need large amounts of high quality data for their applications, and one
way to acquire such data is to combine datasets from multiple parties. Since these …

KNN classification is an improvisational learning mode, in which they are carried out only
when a test data is predicted that set a suitable K value and search the K nearest neighbors …

The current Covid-19 pandemic shows that our modern globalized world can be heavily
affected by a quickly spreading, highly infectious, deadly virus in a matter of weeks. It …

Federated learning (FL) has demonstrated tremendous success in various mission-critical
large-scale scenarios. However, such promising distributed learning paradigm is still …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Recent foundational work on leakage-abuse attacks on encrypted databases has
broadened our understanding of what an adversary can accomplish with a standard leakage …

Computing on data in a manner that preserve the privacy is of growing importance. Multi-
Party Computation (MPC) and Homomorphic Encryption (HE) are two cryptographic …

Space partitions of $\mathbb {R}^ d $ underlie a vast and important class of fast nearest
neighbor search (NNS) algorithms. Inspired by recent theoretical work on NNS for general …

A private data federation enables clients to query the union of data from multiple data
providers without revealing any extra private information to the client or any other data …