Gouvernance

Deepfake Detection

Définition

AI-powered methods for identifying media—images, video, audio—that have been synthetically generated or manipulated using generative AI. Deepfake detection is increasingly important for trust infrastructure in elections, financial services, and media.

Termes Connexes

AI Watermarking

Techniques that embed imperceptible signals into AI-generated content—text, images, audio, or video—enabling later verification of AI origin. The EU AI Act requires providers of GPAI systems used to generate synthetic content to apply machine-readable watermarks.

Generative Adversarial Network (GAN)

A framework consisting of two neural networks—a generator and a discriminator—that compete against each other. The generator creates synthetic data; the discriminator tries to distinguish real from fake. GANs produce highly realistic images and are also studied in the context of deepfake detection.

Diffusion Model

A class of generative models that learn to reverse a gradual noise-addition process to produce high-quality images, audio, or video from random noise. Diffusion models power leading image generators such as Stable Diffusion and DALL-E 3.

Services Connexes

Cybersecurity For Ai

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