CORE

Machine learning is fueling major advances in biomedical research, natural language processing, image recognition, self-driving vehicles, etc. These advances depend on the continuing availability of data. By assuring the integrity and privacy of both the data and the machine learning models based on this data, this project aims to bring the benefits of machine learning to all data holders. However, machine learning can unintentionally reveal sensitive data such as the identity of specific persons.

Over half of the world's 1.8 billion websites run on Content Management Systems (CMS). Unfortunately, CMS deployments make easy targets for attackers, as they are built from an amalgam of layered software and interpreters, with varying degrees of network and system permissions, which execute on an Internet-facing web server.

Modern computing systems are under constant attack by organized crime syndicates, nation-state adversaries, and regular cyber-criminals alike. Among the most damaging attacks are those that exploit so-called memory corruption vulnerabilities which often confer the attacker with access to sensitive information or allow the attacker to execute arbitrary code on the victim's machine. To counter the threat posed by memory corruption vulnerabilities, this project will research and develop new defensive capabilities realized through the joint design of hardware and software.

Numerous challenges confront law enforcement investigations and prosecutions of cybercrime offenses, including under-reporting by victims, jurisdictional conflicts and limitations, insufficient resources, training, and expertise, as well as organizational constraints. This research is a study of cybercrime investigators, their departments, and the challenges they face in fighting cybercrime. The research consists of social scientific research on how law enforcement investigators and their units conduct cybercrime investigations.

This research has a foundational, multi-disciplinary research agenda that examines the role of technology in intimate partner violence and investigates the development of new tools, techniques, and theories to combat technology-enabled abuse. The work is important because digital technologies play an increasingly prominent role in domestic violence, stalking, and surveillance by abusive partners and others known to the victim. The research builds on prior work detailing the ways in which abusers exploit technology to monitor, harass, track, and control victims.