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Shahroz Tariq, PhD
CSIRO's Data61 Research Scientist | Deepfake Detection Expert | Collaborative Intelligence (CINTEL) for Cybersecurity
Shahroz Tariq, PhD, is a Research Scientist at CSIRO's Data61 in Sydney, Australia.14 He specializes in several key areas of artificial intelligence and cybersecurity research:
Research Focus
Dr. Tariq's primary research interests include:
- Deepfake AI Security and Privacy
- Continual and Lifelong Learning
- Human-AI Collaboration
His work has made significant contributions to the field of deepfake detection and AI security.
Career Progression
Shahroz Tariq's career path includes:
- Current position: Research Scientist at CSIRO's Data613
- Previous role: Postdoctoral Fellow at CSIRO's Data61 from 2022 to 20234
- Prior experience: Research roles at Sungkyunkwan University and SUNY Korea
Academic Background
Dr. Tariq completed his doctoral degree jointly from CSIRO's Data61 and Swinburne University of Technology in Australia.4
Research Impact
Shahroz Tariq has made notable contributions to his field:
- Published numerous papers in prestigious conferences and journals
- His work on detecting fake face images has been widely cited, with one paper receiving over 200 citations1
- Developed novel datasets and frameworks for deepfake detection, including FakeAVCeleb and CANTransfer1
Online Presence
Dr. Tariq maintains an active online presence:
- LinkedIn: https://au.linkedin.com/in/shahroztariq3
- Twitter: @TheShahrozTariq, where he describes himself as working on "DeepFake, Security & Privacy of AI and Human-Centered AI"5
- Google Scholar profile showcasing his publications and citations1
Shahroz Tariq's research at CSIRO's Data61 focuses on addressing critical challenges in AI security, particularly in the realm of deepfake detection and human-AI collaborative systems for cybersecurity.24
