Simon S. Woo received his M.S. and Ph.D. in Computer Science from Univ. of Southern California (USC), Los Angeles, M.S. in Electrical and Computer Engineering from the University of California, San Diego (UCSD), and B.S. in Electrical Engineering from the University of Washington (UW), Seattle. He was a technical staff (technologist) member for 9 years at NASA's Jet Propulsion Lab (JPL), Pasadena, CA, conducting research in satellite communications, networking, and cybersecurity areas. Since 2017, he was a tenure-track Assistant Professor at SUNY, South Korea, and a Research Assistant Professor at Stony Brook University. Now, he is a tenure-track Assistant Professor at the Department of Applied Data Science and Software at Sungkyunkwan University, Suwon, Korea. He has published several top conference papers on Deepfake detection, including ICML, WWW, ACSAC, ACMMM, CVPRW, CCSW, etc., and is an expert in Deepfake detection and generation. He has been a technical program committee member for CCS, WWW, KDD, AAAI, CVPR, WACV, AsiaCCS, CoNext, and SOUPS.

Shahroz Tariq received his Ph.D. from Sungkyunkwan University, Suwon, South Korea, working on continual learning, deepfake, and anomaly detection. He was a Ph.D. research assistant at Stony Brook University and SUNY Korea (2017-2019). He received his B.S. in Computer Science with high distinction from the National University of Computer and Emerging Sciences (FAST-NUCES), Islamabad, Pakistan, and his M.S. in Computer Science with high distinction from Sangmyung University, Cheonan, South Korea. He worked as a Software Engineer in Bentley Systems (2014-2015).  Now, he is a postdoctoral fellow working on human-AI collaborative systems for cybersecurity at CSIRO’s Data61 in Sydney, Australia. He has published deepfake detection papers in NeurIPS, ACMMM, WWW, ADGD, WMF, IFIPSEC, SAC, ASOC, and MPS. He has also published research articles in KDD, CIKM, SMC, COSE, IOSec, MiLeTS, and MobiSys. He has been a technical program committee member for AAAI, NeurIPS, KDD, ICLR, WSDM, SDM, WACV, WWW, and CIKM.

Youjin Shin received her Ph.D. and M.S. in the computer science department from the State University of New York at Stony Brook, USA. She also received her M.B.A. in IT and media management from the Korea Advanced Institute of Science and Technology (KAIST) and her B.S. in computer science from Ewha Womans University, South Korea. She worked for the Chosun Daily as a staff member from 2010 to 2013. In 2022, she was an assistant professor in the department of Data Science at Sejong University. Now, she is a tenure-track assistant professor in the department of Data Science at the Catholic University of Korea, South Korea. She has published papers in WWW, KDD, CIKM, SAC, MPS, Computer & Security, and Applied Soft Computing, working on AI-driven security and anomaly detection for fake images and Cyber-Physical Systems (CPS), including a satellite.

Daewon Chung received B.S. and M.S. degrees in electronics engineering from Kyungpook National University in 1992 and 1994. He received a Ph.D. degree in electronics engineering from Chungnam National University in 2007. He joined Korea Aerospace Research Institute (KARI), Republic of Korea in 1994. He is currently Executive Director of National Satellite Operation & Application Center at Korea Aerospace Research Institute. He joined the University of Science & Technology as an association professor. He is currently a professor at University of Science & Technology. He was chairman of the SpaceOps Committee from 2013 to 2017. His research interest is currently AI based satellite image processing such as anomaly detection, image domain change, super-resolution and object detection, spacecraft operations and satellite situational awareness.