Deepfake Image and Video Detection
Mike Raggo
DEF CON 33 · Day 1 · Main Stage
In an era increasingly saturated with synthetic media, the ability to discern genuine content from sophisticated fabrications is paramount. This talk, delivered by veteran security researcher Mike Raggo at DEF CON, delves into the evolving landscape of **deepfake** image and video detection. Raggo, with over two decades of experience in image analysis and steganography, presents a comprehensive overview of techniques ranging from traditional metadata scrutiny to advanced machine learning algorithms. The core of his presentation revolves around the challenges posed by generative AI tools like DALL-E and MidJourney and introduces practical, accessible methods for forensic analysis.
AI review
Raggo is a genuine practitioner with 25 years in the space and the talk delivers competent coverage of deepfake forensics — ELA, noise maps, edge anomalies, ICC metadata, nearest-neighbor ML analysis. Nothing here is new to the field, but the packaging is honest and the free GPT-based forensic tool gives attendees something they can actually use Monday morning.