Secure computation allows any number of mutually distrustful parties to jointly run an arbitrary computation on their combined inputs without compromising their privacy. Secure computation offers a theoretical solution to a vast array of problems where one wishes to simultaneously maintain a fine-grained control over the users' privacy and have flexibility in how their data is used in a protocol. Over the past decade, secure computation has largely emerged from the depth of theoretical research to enter the realm of practically-usable technologies, and secure protocols are now routinely implemented and deployed. This is the result of a widespread and ongoing research effort from the cryptography community, which has produced a diverse ecosystem of protocols and paradigms optimized for a variety of concrete applications. This book covers one such recent paradigm, the area of silent secure computation, which strikes a careful balance between communication and computation overheads. This paradigm has recently emerged as a promising path towards fast secure computation in bandwidth-restricted settings, and has had a significant influence on the landscape of practical secure computation. The goal of the book is to provide an accessible introduction to silent secure computation. It is aimed at Ph.D. students and researchers in cryptography and has a strong focus on explaining the intuitions and giving the reader a sense of scale, in the hope of conveying insights about the practicality of silent secure computation in various contexts and to give a clear overview of some of the core challenges in the field.

Provides first gentle introduction to the fast-expanding field of pseudorandom correlation generators Covers both foundational aspects and advanced applications of secure computation Presents a strong focus on giving the reader an intuition about the real-world meaning and impact of all parameters

Autorentext

The author is a CNRS research scientist at IRIF, Université Paris Cité. He received his PhD from École Normale supérieure (ENS) in November 2017, under the supervision of David Pointcheval and Hoeteck Wee. In 2017-2019,  he was a postdoctoral researcher at Karlsruhe Institute of Technology (KIT), in the team of Dennis Hofheinz. His main research interests are secure computation and zero-knowledge proofs (both foundational and pratical aspects), as well as the theoretical foundations of cryptography. Over the past decade, some of his main lines of work include the development of methods to generate correlated pseudorandomness, the design of secure protocols with communication sublinear in the circuit size, the study of minimal assumptions for non-interactive zero-knowledge, and some explorations in the realm of fine-grained cryptography.

Inhalt

1. Introduction.- 2. Secure Computation: a Primer.- 3. Silent Secure Computation.- 4. Advanced Topics in Silent Secure Computation.- 5. Bibliography.