Dr 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.

Dr. Shahroz Tariq is a Research Scientist at CSIRO’s Data61 in Sydney, Australia, where he focuses on developing human-AI collaborative systems for cybersecurity applications. He holds a Ph.D. in Computer Science from Sungkyunkwan University, South Korea, with a specialisation in continual learning, deepfake detection, and anomaly detection. Between 2017 and 2019, he served as a Ph.D. Research Assistant at Stony Brook University and SUNY Korea. Dr Tariq completed his B.S. in Computer Science at the National University of Computer and Emerging Sciences (FAST-NUCES), Islamabad, Pakistan, and earned his M.S. in Computer Science from Sangmyung University, South Korea—both with high distinction. Before pursuing his Ph.D., he worked as a Software Engineer at Bentley Systems from 2014 to 2015. An authority in deepfake detection, Dr. Tariq has authored over 25 research papers on the topic, many of which have been published in top-tier venues such as NeurIPS, ACM MM, WWW, WMF, IFIP SEC, SAC, ASOC, and MPS. According to the DBLP ranking, he is currently ranked third globally in terms of publications in the domain of deepfakes. Beyond this specialisation, he has contributed to broader research domains, publishing in leading venues like KDD, CIKM, IEEE SMC, Computers & Security (COSE) and MobiSys. In addition to his research contributions, Dr Tariq has been organising the Workshop on Deepfake and Cheapfake (WDC) for the past three years, fostering collaboration and advancing discussions in multimedia forensics, cybersecurity, and AI.

Dr Kristen Moore is the lead of the 'Human-centered AI & Cybersecurity' sub-team in the Cybersecurity and Quantum Systems group at CSIRO's Data61. Her research interests are in the security of AI and AI for cybersecurity, with a special interest in deepfakes and data simulation. A 2022 Women in AI Australia/NZ Cybersecurity finalist, Kristen previously led the “Deception as a Service” project for the Cyber Security CRC and is currently leading Data61's engagement in the Cyber Security CRC project “Augmenting Cyber Defence Capability”. Kristen completed her PhD in mathematics at the Max Planck Institute for Gravitational Physics in Germany, followed by postdocs at the Mathematical Sciences Research Institute at UC Berkeley, and at Stanford University. She then worked in the industry for 6 years, firstly at the ag-tech startup Gro Intelligence, and then at Telstra, where she led a team to develop an AI-assisted customer support system for over 1,000 staff. Since joining CSIRO in 2020 she has filed an international patent application, won the prestigious CSIRO Julius Career Award, and published in top AI and security conferences including IEEE S&P, ICLR, ESORICS, ACSAC, CIKM, AsiaCCS, and IEEE Euro S&P.

Dr Sharif Abuadbba is a senior research scientist at CSIRO’s Data61. He received his Ph.D. from RMIT University, Australia. His focus is on developing augmented cyber defence capabilities using advances in AI/ML as well as the security of AI against adversarial attacks. He has recently helped to define Cyber Security CRC projects, such as Deception as a Service, Smart Shield (leading) and TAPE (leading), which received funding in excess of $2.5M. Dr Abuadbba was one of a handful of CSIRO staff awarded the exceptional early career Julius Career Award 2022. He has previously worked with California-based technology company AgilePQ Inc as a senior R&D engineer and contributed to a number of US IP patents in the area of cybersecurity. He cofounded EyeCura Pty Ltd, a cybersecurity startup, which now has three online products on IOS, and Google Play used by +10K users. His research impact also includes 40+ publications in many prestigious CORE A conferences and journals such as ACM AsiaCCS, ICDCS, ESORICS, ACSAC, and IEEE TIFS. He is a regular reviewer at IEEE TIFS, IEEE TDSC, and IEEE TSC.

Tim Walita holds a Master’s degree in Entrepreneurial Cybersecurity at Saarland University where he also received his B.S. in Cybersecurity. Working on his own start-up idea was an integral part of his study program in which he developed a novel approach for a deepfake detection platform that leverages human decision making via technological advancements in explainability and interpretability concepts. In this context, he now works at a spin-off at the CISPA Helmholtz Center for IT Security in Germany. His past academic research focused on autoencoder-based anomaly detection systems for critical infrastructures. On this topic, he published a paper at the CPSS Workshop which was held in conjunction with the ACM AsiaCCS'23.