University at Buffalo, State University of New York

Media Forensic Lab (MDFL)


The UB Media Forensic Laboratory is a multi-departmental research lab at the School of Engineering and Applied Sciences, University at Buffalo, State University of New York, affiliated with the Department of Computer Science and Engineering, and the Artificial Intelligence Institute. We are broadly interested in Computer Vision and Machine Learning algorithms, and are specially focused on the theoretical foundations and algorithms for the forensic analysis of digital media (images, audios, and videos). Funding for the lab has been provided by the National Science Foundation (NSF), the Defense Advance Program Research Agency (DARPA), the National Institute of Justice (NIJ), the Army Research Office, the US Department of Homeland Security, and Google Inc.



Recent News


December 11, 2020

Congratulate Shu Hu for winning poster competition!



Congratulate Shu Hu for winning the top award for the CSE department's graduate poster competition! Read it here.



September 25, 2020

Shu Hu's paper is accepted by NeurIPS 2020.



Shu Hu's paper ''Learning by Minimizing the Sum of Ranked Range'' is accepted by NeurIPS 2020, Congratulations Shu! Read the paper here.


September 22, 2020

Yuezun Li's paper is accepted by WIFS 2020.



Yuezun Li's paper ''Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction'' is accepted by WIFS 2020. Congratulations Dr.Li! Read it here.