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 develops secure, trustworthy, and human-centric AI systems for high-stakes domains such as cybersecurity. His research spans AI security, deepfake and generative media forensics, continual learning, and human-AI collaboration. He earned his PhD in Computer Science from Sungkyunkwan University (SKKU), South Korea, where he worked at the DASH Lab, specialising in deepfake detection, anomaly detection, and adaptive learning. He also holds an M.S. in Computer Science from Sangmyung University and a B.S. in Computer Science from FAST-NUCES, both with high distinction. Dr Tariq has authored 40+ research papers in top-tier venues such as NeurIPS, CVPR, KDD, WWW, ACM Multimedia, and ACM TOIT, with over 2,400 citations and an h-index of 22. He is widely recognised for creating FakeAVCeleb, a benchmark multimodal deepfake dataset. His recent work addresses alert fatigue mitigation in Security Operations Centres (SOCs) through human-AI teaming frameworks. He actively contributes to the research community as a Program Committee member for leading conferences, including ICML, AAAI, ICLR, NeurIPS, KDD, WSDM, SDM, CIKM, CVPR, ECCV, ICCV, WWW, USENIX Security, and others. He also serves as a reviewer for top journals, such as ACM Computing Surveys, Communications of the ACM, IEEE TIFS, and Multimedia Systems Journal. Beyond reviewing, he co-organises workshops like the WDC at AsiaCCS and 3D-Sec at CCS, fostering global collaboration on AI forensics and trustworthiness.

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.

Dr Priyanka Singh is a Lecturer of Cybersecurity in UQ Cyber, School of Electrical Engineering and Computer Science at the University of Queensland (UQ) in Brisbane, Australia. Dr Singh has a PhD in image forensics and has more than 11 years of experience in multimedia forensics, homomorphic encryption, privacy-preserving frameworks, and cloud security. Dr Singh significantly contributed to designing novel privacy-preserving robust homomorphic image hashing algorithms during her postdoc at Dartmouth College, USA. It was towards extending the capabilities of the technology, PhotoDNA, to work on end-to-end encrypted channels and provide a privacy-preserving solution during her postdoc at Dartmouth College, USA. The algorithms are widely adopted on a variety of platforms like Twitter, Meta, Snap Inc., TikTok, etc. It identifies the child sexual abuse material (CSAM) via extracting a unique robust hash value without viewing the content and matching it with the already reported CSAM dataset maintained by authorities like the National Centre for Missing and Exploited Children (NCMEC). Her published work was also delivered as an invited talk in MIT. She also collaborated with the MIT Media Lab group on privacy-preserving geo-hashes for detection of the spread of infectious diseases such as COVID-19.

Dr. Gaurav Varshney is currently working as an Assistant Professor at IIT Jammu. He has obtained his PhD. & MTech from IIT Roorkee in the area of Information Security with specialisation in the domain of Anti-Phishing. He has 10+ years of experience in academia and industry (Qualcomm, NIIT). His current work focuses on web/network security, memory forensics, and privacy-preserving tech. He has published research papers and worked with foreign Institutes, including SUNY Albany, USA, SUTD Singapore, CSIRO Australia, CCU, Taiwan and the University of Newcastle, Australia. His publication and projects can be viewed at portfolio.expertsec.in