The 2nd Workshop on the security implications of Deepfakes and Cheapfakes (WDC '23)

co-located with ACM ASIACCS 2023

Melbourne, Australia

July 10, 2023

Proceedings Available: https://dl.acm.org/doi/proceedings/10.1145/3595353

Organizing Committee 

Simon S. Woo

Sungkyunkwan University

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

CSIRO's Data61 Australia

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.

Sharif Abuadbba

CSRIO's Data61 Australia

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.

Kristen Moore

CSRIO's Data61 Australia

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.

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