TruthLens: Beyond Binary DeepFake Detection

TruthLens: Beyond Binary DeepFake Detection

An explainable AI framework for identifying and characterizing synthetic media

TruthLens advances DeepFake detection by going beyond simple real/fake classification to provide detailed explanations of manipulated content.

  • Offers explainable detection that identifies specific manipulation types in images
  • Generates textual reports describing detected manipulations
  • Demonstrates superior generalization capabilities across various DeepFake types
  • Provides a crucial security tool as AI-generated content becomes increasingly sophisticated

This research represents a significant advancement for security professionals who need not just to detect fake media but understand how and where it has been manipulated - essential for combating misinformation and protecting digital integrity.

TruthLens: Explainable DeepFake Detection for Face Manipulated and Fully Synthetic Data

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