130 citations · 218 across the 12 of their papers we have counts for
12 papers
Open Set Synthetic Image Source Attribution
Shengbang Fang, Tai D. Nguyen, Matthew C. Stamm
AI-generated images have become increasingly realistic and have garnered significant public attention. While synthetic images are intriguing due to their realism, they also pose an…
Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Tools
Brandon B. May, Kirill Trapeznikov, Shengbang Fang +1
We present a first of its kind dataset of overhead imagery for development and evaluation of forensic tools. Our dataset consists of real, fully synthetic and partially manipulated…
Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces
Shengbang Fang, Matthew C Stamm
Recent advances in deep learning have enabled forensics researchers to develop a new class of image splicing detection and localization algorithms. These algorithms identify splice…
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces
Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm
Fake videos represent an important misinformation threat. While existing forensic networks have demonstrated strong performance on image forgeries, recent results reported on the A…
TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection
Davide Salvi, Brian Hosler, Paolo Bestagini +2
With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material are becoming increasingly straightforward to perform. At the same t…
Primary and Secondary Social Media Source Identification
Brian C Hosler, Matthew C Stamm
Social networks like Facebook and WhatsApp have enabled users to share images with other users around the world. Along with this has come the rapid spread of misinformation. One st…