Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery

arXiv — cs.CV•Friday, November 7, 2025 at 5:00:00 AM

Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery

The introduction of Proto-LeakNet marks a significant advancement in addressing the challenges of source attribution and authenticity verification in synthetic human face imagery. As deepfake technology becomes increasingly sophisticated, the ability to detect and trace the origins of these images is crucial for maintaining trust in digital content. Proto-LeakNet leverages the concept of signal leaks, which are persistent statistical traces left by diffusion pipelines, to enhance the reliability of computer vision systems. This development not only improves the detection of synthetic images but also contributes to the broader conversation about the ethical implications of deepfake technology.

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