Private record linkage (PRL) is the problem of identifying pairs of records that are similar as
per an input matching rule from databases held by two parties that do not trust one another …

The task of linking multiple databases with the aim to identify records that refer to the same
entity is occurring increasingly in many application areas. If unique identifiers for the entities …

Private matching between datasets owned by distinct parties is a challenging problem with
several applications. Private matching allows two parties to identify the records that are …

Computing aggregate statistics about user data is of vital importance for a variety of services
and systems, but this practice has been shown to seriously undermine the privacy of users …

We study the problem of privacy-preserving data sharing, wherein only a subset of the
records in a database is sensitive, possibly based on predefined privacy policies. Existing …

The integration of information dispersed among multiple repositories is a crucial step for
accurate data analysis in various domains. In support of this goal, it is critical to devise …

Differential privacy (DP) is currently the de-facto standard for achieving privacy in data
analysis, which is typically implemented either in the" central" or" local" model. The local …

We present a multi-language, cross-platform, open-source library for asymmetric private set
intersection (PSI) and PSI-Cardinality (PSI-C). Our protocol combines traditional DDH-based …

Recently, a number of systems have been deployed that gather sensitive statistics from user
devices while giving differential privacy guarantees. One prominent example is the …

Differential privacy (DP) provides formal guarantees that the output of a database query
does not reveal too much information about any individual present in the database. While …