Important decisions about people are increasingly made by algorithms: Votes are counted;
voter rolls are purged; financial aid decisions are made; taxpayers are chosen for audits; air …

Machine-to-machine (M2M) is one of the emergent technologies that has attracted a lot of
attention in both industrial and academic sectors, and which is expected to grow in the next …

This paper presents Prio, a privacy-preserving system for the collection of aggregate
statistics. Each Prio client holds a private data value (eg, its current location), and a small set …

This paper introduces Flamingo, a system for secure aggregation of data across a large set
of clients. In secure aggregation, a server sums up the private inputs of clients and obtains …

Household smart meters that measure power consumption in real-time at fine granularities
are the foundation of a future smart electricity grid. However, the widespread deployment of …

This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …

This paper presents a new protocol for solving the private heavy-hitters problem. In this
problem, there are many clients and a small set of data-collection servers. Each client holds …

How to leave behind our unwieldy, gas-guzzling, carbon dioxide–emitting vehicles for cars
that are green, smart, connected, and fun. This book provides a long-overdue vision for a …

Advances in sensor data collection technology, such as pervasive and embedded devices,
and RFID Technology have lead to a large number of smart devices which are connected to …

We study privacy-preserving tests for proximity: Alice can test if she is close to Bob without
either party revealing any other information about their location. We describe several secure …