no code implementations • 22 Aug 2023 • Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm
To address this new threat, researchers have developed multiple algorithms to detect synthetic images and identify their source generators.
no code implementations • 9 May 2023 • Brandon B. May, Kirill Trapeznikov, Shengbang Fang, Matthew C. Stamm
We present a first of its kind dataset of overhead imagery for development and evaluation of forensic tools.
no code implementations • 28 Nov 2022 • Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm
While existing forensic networks have demonstrated strong performance on image forgeries, recent results reported on the Adobe VideoSham dataset show that these networks fail to identify fake content in videos.
no code implementations • 22 Nov 2022 • Shengbang Fang, Matthew C Stamm
Through a series of experiments, we demonstrate that our attack is capable of fooling forensic splicing detection and localization algorithms without introducing visually detectable artifacts into an attacked image.