Skip to main content

Detecting Deepfakes in Real Time with Transparency and Explanability

Explanability with Justification

Fact-checking against established sources and verified data to support to support ground truth validation.

Zero-Shot, Adaptive Threat Detection & Generalisation

  • Detects manipulated media without prior training on specific datasets.
  • Continuously adapts to emerging deepfake techniques without retraining.

Temporal Localisation

  • Identifies and flags segments where manipulations occurs.
  • Enables analysis for rapid investigative workflows

Detection Model Developed by Proven Experts in Audio-Visual Deepfake Detection

  • Achieved 92.78% AUC, securing #3 globally in the AV-Deepfake1M++ Grand Challenge (Over 300+ submissions).
  • Published at ACM Multimedia 2025, detailing our novel approach for temporal audio-visual deeepfake detection.

Interested?

Contact Us