ECE Graduate Seminar - Matthew C. Stamm

— 1:00pm

Location:
In Person - Panther Hollow Conference Room 4105, Mehrabian Collaborative Innovation Center

Speaker:
MATTHEW STAMM , Associate Professor, Electrical and Computer Engineering Department, Drexel University
https://drexel.edu/engineering/about/faculty-staff/S/stamm-matthew/

Multimedia Forensics: Using AI to Protect Against Fake Media Threats

Recent advances in photo editing software and generative AI have made it easier than ever to create visually realistic fake images and videos. While these technologies hold tremendous potential for creative and commercial applications, they also pose growing risks when misused by malicious actors. From orchestrated disinformation campaigns to identity theft and fraud, the threats from increasingly convincing synthetic or manipulated media continue to raise serious concerns throughout government, industry, and society at large. 

In this talk, I will introduce several deep learning-based multimedia forensic systems developed in the Multimedia and Information Security Lab (MISL) at Drexel University that combat the escalating threat of fake media. These systems are able to identify AI-generated images and videos even when they are produced by generative systems that were not encountered during training.  

This enables detection systems to remain effective in the fast-evolving generative AI landscape, where new generative systems continue to emerge at a rapid pace. I will also discuss novel techniques to identify edited and manipulated images and videos created by both AI-based and traditional editing systems, as well as examine emerging challenges faced when creating authentication systems to combat the latest generation of fake media threats. 

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Dr. Matthew C. Stamm is an Associate Professor in the Electrical and Computer Engineering Department at Drexel University, where he leads the Multimedia and Information Security Lab (MISL). He and his lab develop AI techniques to detect fake media, including deepfake videos, AI generated images and photoshopped forgeries. 

Dr. Stamm is the recipient of several awards for his research including Drexel University’s 2023 Provost’s Award for Outstanding Mid-Career Scholarly Achievement, the University of Maryland’s 2023 Alumni Excellence Award for Research, and an NSF CAREER Award in 2013.  In 2021, he was named one of Popular Science Magazine’s Brilliant 10 - its annual list of the “10 most innovative up-and-coming minds in science.”  Dr. Stamm served as an elected member of the IEEE Signal Processing Society’s Information Forensics and Security Technical Committee from 2018-2020, and as General Chair of the 2017 ACM Workshop on Information Hiding and Multimedia Security. 

In addition to his academic work, he has helped authenticate media used in national news stories for the New York Times, Reuters, AFP, PolitiFact, and several other organizations.  

Event Website:
https://ece.cmu.edu/news-and-events/seminars.htm

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