Siwei Lyu is an Empire Innovation Professor at the Department of Computer Science and Engineering
and the founding Director of UB Media Forensic Lab (UB MDFL) of
University at Buffalo, State University of New York.
Before joining UB, Dr. Lyu was an Assistant Professor from 2008 to 2014, a tenured Associate Professor from 2014 to 2019, and a Full Professor from 2019 to 2020, at the Department of Computer Science, University at Albany, State University of New York.
From 2005 to 2008, he was a Post-Doctoral Research Associate at the Howard Hughes Medical Institute and
the Center for Neural Science of New York University. He was an Assistant Researcher at Microsoft Research
Asia (then Microsoft Research China) in 2001. Dr. Lyu received his Ph.D. degree in Computer Science from Dartmouth College in 2005, and
his M.S. degree in Computer Science in 2000 and B.S. degree in Information Science in 1997, both from Peking University, China.
Dr. Lyu's research interests include digital media forensics,
computer vision, and machine learning.
Dr. Lyu has published over 150 refereed journal and conference papers.
Dr. Lyu's research projects are funded by NSF, DARPA, NIJ, UTRC, IBM and Department of Homeland Security.
He is the recipient of the IEEE Signal Processing Society
Best Paper Award (2011),
the National Science Foundation CAREER Award (2010),
SUNY Albany's Presidential Award for Excellence in Research and Creative Activities (2017), SUNY Chancellor's Award for Excellence in Research and Creative Activities (2018)
and Google Faculty Research Award (2019).
Dr. Lyu currently serves on the IEEE Signal Processing Society's Information Forensics and Security Technical Committee, and is on the Editorial Board of IEEE Transactions on Information Forensics and Security. Dr. Lyu is a senior member of IEEE, a member of ACM, a member of Sigma Xi, and a member of Omicron Delta Kappa.
- (03/15/2021) Our work on detecting GAN generated images using corneal reflections is reported by UB News. [Link].
This work has also been featured on WKBW-TV [Link].
- (01/29/2021) I appeared on the Interview by Newsy Cable Network and talked about my work on DeepFake forensics. [Link].
- (12/09/2020) My work on DeepFake detection is listed as one of the "Four AI technologies that could transform the way we live and work" in a Nature article. [Link].
- (11/18/2020) I was interviewed by Fox News Cleveland on my work of DeepFake detection. [Link].
- (11/01/2020) Our open-platform for DeepFake detection, DeepFake-o-meter is online now. [Link].
- (08/11/2020) I was interviewed by BYU Radio "The Lisa Show" to discuss DeepFakes [Link].
- (07/20/2020) I was featured in a Scientific American Program on DeepFakes [Link],
accompanied by a SciAm blog piece written by me [Link].
- (06/15/2020) Yuezun Li successfully defended his thesis, Congratulations Dr. Li! Yuezun is the sixth Ph.D. student I graduated, along with Xunyu Pan (2011), Amanda Fernandez (2013), Yueming Yang (2014), Xin Wang (2015), and Wenbo Li (2019).
- (05/26/2020) I was interviewed by Japanese TV Channel NHK's Koukusai Houdou (国際報道) for our work on DeepFake detection [Link].
- (02/24/2020) Our paper on the [Celeb-DF dataset], which includes 5000+ high-quality synthetic
videos has been accepted by CVPR 2020!
- (02/24/2020) I was featured in Episode 6 of the PBS Documentary "Fake: Searching for Truth in the Age of Misinformation" [Link].
- (01/30/2020) I was interviewed by Inverse [Link].
- (01/28/2020) I presented and spoke as a panelist at the FTC workshop on voice cloning technologies [Link]
and corresponding report on VentureBeat [Link].
- (01/08/2020) I was interviewed Fox News about Facebooks's new policy on DeepFakes [Link].
- (11/26/2019) My comments were featured in an article in the Wired Magazine UK [Link].
- (11/22/2019) I testified at New York State Senate Hearing on protecting consumer data and privacy on online platforms
- (10/09/2019) I was featured in an IEEE Spectrum article
- (10/04/2019) I discussed DeepFakes and their detections on WHYY The Pulse
- (09/26/2019) I testified at the US House of Representative Committee on Science, Space, and Technology Subcommittee on Oversights and Investigation Hearing on "Online Imposter and Disinformation"
See also report on Times Union [Link]
and Washington Post [Link].
- (09/03/2019) I am very excited to be an academic advisor of the DeepFake Detection Challenge sponsored by FaceBook, Microsoft and PAI with multiple universities,
along with Profs Hany Farid and Alyosha Efros (UC-Berkeley), Serge Belongie (Cornell Tech), Rama Chellappa (John Hopkins), Phil Torr (Oxford), Phillip Isola and Antonio Torraalba (MIT) [Link].
See also report on Times Union [Link].