“Forensic Similarity for Digital Images” accepted for publication in the IEEE Transactions on Information Forensics and Security

“Forensic Similarity for Digital Images,” an article by MISL member Owen Mayer and MISL PI Dr. Matthew Stamm was recently selected to be published in the IEEE Transactions on Information Forensics and Security, the #1 academic journal for Information Security. The article is to appear in print in December 2019. The article describes a new […]

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Dr. Matthew Stamm wins funding from Army Research Office Rapid Innovation Fund

Dr. Matthew Stamm (PI), Dr. James Shackleford (Co-PI), and Dr. Naga Kandasamy (Co-PI) have been awarded $648,572 in funding for their project “High Performance Techniques to Identify the Source and Authenticity of Digital Videos Using Multimedia Forensics” from the Army Research Office. This two year project will develop multimedia forensic algorithms to blindly determine which […]

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