Lattice-based cryptography is the use of conjectured hard problems on point lattices in Rn
as the foundation for secure cryptographic systems. Attractive features of lattice cryptography …

Machine learning (ML) is increasingly being adopted in a wide variety of application
domains. Usually, a well-performing ML model relies on a large volume of training data and …

Indistinguishability obfuscation, introduced by [Barak et. al. Crypto 2001], aims to compile
programs into unintelligible ones while preserving functionality. It is a fascinating and …

Depth estimation and scene parsing are two particularly important tasks in visual scene
understanding. In this paper we tackle the problem of simultaneous depth estimation and …

How we can evade, protest, and sabotage today's pervasive digital surveillance by
deploying more data, not less—and why we should. With Obfuscation, Finn Brunton and …

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 …

Differential privacy is a theoretical framework for ensuring the privacy of individual-level data
when performing statistical analysis of privacy-sensitive datasets. This tutorial provides an …

Abstract Dynamic Searchable Symmetric Encryption (DSSE) enables a client to encrypt his
document collection in a way that it is still searchable and efficiently updatable. However, all …

Many network middleboxes perform deep packet inspection (DPI), a set of useful tasks
which examine packet payloads. These tasks include intrusion detection (IDS), exfiltration …

We finally close the long-standing problem of constructing a noninteractive zero-knowledge
(NIZK) proof system for any NP language with security based on the plain Learning With …