Dr Shahroz Tariq is a postdoctoral fellow at CSIRO’s Data61 in Sydney, Australia, where he is currently working on human-AI collaborative systems for cybersecurity. He received his Ph.D. from Sungkyunkwan University in Suwon, South Korea, specializing in continual learning, deepfake, and anomaly detection. Prior to that, he was a Ph.D. research assistant at Stony Brook University and SUNY Korea between 2017 and 2019. Shahroz earned his B.S. in Computer Science from the National University of Computer and Emerging Sciences (FAST-NUCES) in Islamabad, Pakistan, and his M.S. in Computer Science from Sangmyung University in Cheonan, South Korea, both with high distinction. He also worked as a Software Engineer at Bentley Systems from 2014 to 2015. 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.

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 Kristen Moore is a Senior Research Scientist at CSIRO’s Data61. Her research interests are in the use of AI to augment cyber defence capability, with a focus on cyber deception and the generation of fake cyber artefacts. She was the technical lead for the Cyber Security CRC project “Deception as a Service” and is currently the technical lead for advancing AI in the Cyber Security CRC project “Augmenting Cyber Defence Capability”. She was also a finalist for the Women In AI Australia/NZ awards in Cyber Security in 2022. Kristen completed her Ph.D. in mathematics in 2012 at the Max Planck Institute for Gravitational Physics and the Free University Berlin, in Germany. She then held postdoctoral positions at the Mathematical Sciences Research Institute at UC Berkeley, and at Stanford University. In 2014 she joined Gro Intelligence, an agriculture-tech startup company in New York, which has since grown to be named one of Time Magazine’s 100 Most Influential Companies of 2021. In 2017 she joined Telstra, where she led a team to develop and deploy a collaborative Human-AI customer support system that was used by over 1,000 Telstra customer support staff. Since joining CSIRO in 2020 she has filed an international patent application for cyber deception technology she developed, and published in top venues including IEEE Euro S&P and IEEE TPDS.