Aletheia focuses on advancing deepfake detection across video and audio modalities. Our research is guided by three goals:

  • Generalization: develop methods that transfer across diverse datasets and forgery techniques.
  • Transparency: understand how detection models make decisions and ensure datasets are reliable (free of spurious shortcuts).
  • Deployability: build systems that adapt and remain robust on unconstrained “in-the-wild” content.