Towards an All-in-One Media Forensics Tool

Abstract:

Intelligence analysts, journalists, and forensics experts must quickly and accurately examine and report on information in multiple modalities, including video, audio, and images. With the rise of Generative AI, these specialists face unprecedented challenges, and require effective, reliable, and explainable media detection and analysis tools. This work explores their requirements for deepfake detection tools and explainability features, with studies involving 30 US-based intelligence analysts, 24 US journalists, and 11 Bangladeshi journalists. We conclude that these specialists need an all-in-one tool for media forensics and propose an ontology-based approach to creating a navigable user interface for such a tool.

Bio:

Matthew Wright, PhD, is a Kevin O'Sullivan Professor and the Chair of Cybersecurity at Rochester Institute of Technology (RIT). Dr. Wright has co-authored over 100 peer-reviewed papers, including works appearing in top venues like IEEE S&P ("Oakland"), CCS, USENIX Security, NDSS, ACM CHI, INFOCOM, and numerous IEEE & ACM transactions. He won an NSF CAREER award in 2010 and has been PI on $5.8 million in externally funded projects. Within the field of cybersecurity, he has worked primarily in four topic areas: privacy and anonymity online, human factors in security, distributed systems security, and the application of AI to cybersecurity problems.

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Sharif Abuadbba

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