DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning

Summary

This paper presents DeepForgeSeal, a deep learning framework for proactive deepfake detection using semi-fragile watermarks. A learnable watermark embedder operates in latent space, and Adversarial Reinforcement Learning (ARL) trains it against a curriculum of benign and malicious image manipulations generated by an adversarial attacker agent. On the CelebA and CelebA-HQ benchmarks, the authors report improvements of over 4.5% and more than 5.3% respectively under challenging manipulation scenarios.

Topics

• Deepfakes and impersonation