Summary of Social Media Authentication and Combating Deepfakes Using Semi-fragile Invisible Image Watermarking, by Aakash Varma Nadimpalli et al.
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking
by Aakash Varma Nadimpalli, Ajita Rattani
First submitted to arxiv on: 2 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Multimedia (cs.MM)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A deep learning-based approach for image authentication proposes a semi-fragile image watermarking technique that embeds an invisible secret message into real images. The method is designed to be robust against benign image-processing operations and watermark removal attacks while being fragile to facial manipulations or tampering. A unique architecture consisting of critic, adversarial, encoder-decoder, and discriminator networks enforces high image quality and resiliency to watermark removal efforts. Experimental results on state-of-the-art facial Deepfake datasets demonstrate that the proposed model can embed a 64-bit secret as an imperceptible image watermark with high recovery accuracy when benign operations are applied, while being non-recoverable when unseen Deepfake manipulations are applied. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper proposes a way to make sure images aren’t altered or fake. They developed a new method that hides a secret message in the image, making it hard for bad actors to remove. The technique is good at keeping the image intact if someone just tries to edit it, but it’s fragile when someone tries to manipulate the face in the image. The researchers tested this on lots of fake images and showed that their method can keep the original secret message safe. |
Keywords
» Artificial intelligence » Deep learning » Encoder decoder