Deepfake Detection in the Era of Generative AI
As generative AI video quality becomes indistinguishable from reality, the tools to detect synthetic media are more critical than ever. It's an ongoing arms race between generation and detection.
Table of contents:
Frequency Analysis
Generated images often lack the high-frequency noise patterns found in physical camera sensors. By analyzing the discrete cosine transform (DCT) of an image, models can detect synthetic signatures.
Biological Signals
Even the best deepfakes sometimes fail to accurately replicate micro-expressions, pulse-rate (detectable through subtle skin color shifts), and consistent eye reflection patterns.
Temporal Inconsistencies
In video, frame-by-frame generation can lead to micro-flickers. Deep learning models analyzing the temporal coherence using 3D CNNs are highly effective at spotting these anomalies.