A request from a client is received to generate a differentially private random forest classifier
trained using a set of restricted data. The differentially private random forest classifier is …

Abstract Systems and methods are disclosed for generating term frequencies of known
terms based on crowdsourced differentially private sketches of the known terms. An asset …

Aggregate statistics are securely determined on private data by first sampling independent
first and second data at one or more clients to obtain sampled data, wherein a sampling …

A privacy-aware query management system receives a query to aggregate data from a
number of datasets, wherein at least one of the datasets contains private information for one …

A system allows the identification and protection of sensitive data in a multiple ways, which
can be combined for different workflows, data situations or use cases. The system scans …

A differentially private security system is communicatively coupled to a database. The
differentially private security system receives a request from a client device to perform a …

(57) ABSTRACT A method and apparatus for ensuring a level of privacy for answering a
convolution query on data stored in a database is provided. The method and apparatus …

Abstract Systems and methods are disclosed for determining whether a message received
by a client may be spam, in a computing environment that preserves privacy. The message …

Example computing devices described herein enable com putation of a machine learning
model on distributed multi party data that is vertically partitioned, in a privacy preserv ing …

Examples disclosed herein relate to: computing, by a com puting device at a party among a
plurality of parties, a sum of local data owned by the party. The local data is horizon tally …