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Shahroz Tariq

Shahroz Tariq

Research Scientist at CSIRO (Data61)


Dr. Shahroz Tariq is a Research Scientist at CSIRO’s Data61, specialising in deepfake detection, synthetic media forensics, and trustworthy AI for cybersecurity. He was named AI Rising Star of the Year at the 2025 Australian AI Awards.

We’ve moved into diffusion models and multimodal identity puppeteering. It’s not just face and audio anymore; completely fake documents, totally fabricated identities, everything needed to make a synthetic person look plausible and real, started to happen because of these models.
Shahroz Tariq
You Think You Know Your Customers Till You Don't - Deepfakes Edition
19 March, 2026 2:00 PM (GMT) 1 hr
Webinars

You Think You Know Your Customers Till You Don't - Deepfakes Edition

Talking Points:

  • The Historic Blind Spot: Legacy KYC approvals are today’s biggest risk. Learn to identify deepfakes that bypassed traditional liveness checks before you knew they existed.
  • Injection vs. Presentation: Stop looking at cameras; start looking at data. We reveal how deepfakes bypass hardware sensors via digital injection and how to detect the "silent failure."
  • Forensic "Generative" Signals: Beyond the naked eye: We analyze frequency anomalies, pixel incoherence, and texture realism to unmask AI-generated identities at a forensic level.
  • The Arms Race: Static models degrade as AI evolves. Learn how to build a lifelong detection strategy that adapts to new deepfake generators as they hit the market.
  • Data Auditing Privacy: Quantify your deepfake exposure privately. Learn how to scan historic KYC records within your own environment to meet strict biometric privacy standards.

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