New UMD research suggests organizations should cap cybersecurity spending at 37% of potential breach costs.
The award recognizes her significant contributions to sensing forensics and analytics.
UMD researchers combine clever hardware with lightweight AI to catch fleeting wireless threats while drawing microscopic power.
Researchers show how targeting and performance data can combine to reveal sensitive information.
UMD doctoral student Yvonne Zhou is advancing privacy-preserving AI with a new framework developed in partnership with J.P. Morgan.
UMD researchers uncovered hidden flaws in software that powers popular AI systems.
Six years of data reveal why known vulnerabilities can remain exposed long after fixes are available.
The award will support the development of new data-mapping methods that help system operators monitor massive AI networks and prevent infrastructure failures.
The award supports her research into making battery-free devices more robust and reliable when operating on unpredictable energy.
Computer science Ph.D. student Julio Poveda is making AI safer for domestic violence survivors by focusing on security threats from abusive partners.
