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How DeepNude worked — and why it targeted women

DeepNude used an AI system known as generative adversarial networks (GANs) to create its fake nudes. GANs work by having two neural networks compete against each other: One generates fake images, while the other tries to detect whether they're fake. Through this process, the system gets better and better at creating convincing fakes.

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The app was trained on a dataset of nude photos, learning to map patterns between clothed and unclothed bodies. When given a photo of a clothed woman, it would generate a nude version by predicting what her body might look like underneath.

Notably, the app only worked on images of women. When users tried to upload photos of men, it would still generate female anatomy. This wasn't a technical limitation — it was a deliberate choice by the creator, who trained the system exclusively on women's photos.

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