The 3 Forensic Checks That Expose a Deepfake Your Eyes Will Never Catch

How to harden your computer vision pipelines against synthetic media For developers building computer vision or biometric verification systems, the rise of Generative Adversarial Networks (GANs) has moved the goalposts. It is no longer enough to build a model that can identify a face or extract 68-point landmarks; we now have to worry about the mathematical validity of the pixels themselves. The core technical challenge discussed in the recent report on deepfake forensics is that GANs are specifically trained to defeat our visual heuristics.