
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