Summary of Slic: Secure Learned Image Codec Through Compressed Domain Watermarking to Defend Image Manipulation, by Chen-hsiu Huang et al.
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation
by Chen-Hsiu Huang, Ja-Ling Wu
First submitted to arxiv on: 19 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes Secure Learned Image Codec (SLIC), an innovative approach to guaranteeing image authenticity through watermark embedding in the compressed domain. SLIC leverages neural network-based compression to embed watermarks as adversarial perturbations in the latent space, creating images that degrade in quality upon re-compression if tampered with. The authors fine-tune a neural encoder/decoder to balance watermark invisibility with robustness, ensuring minimal quality loss for non-watermarked images. Experimental results demonstrate SLIC’s effectiveness in generating visible artifacts in tampered images, thereby preventing their redistribution. This work has significant implications for developing secure image codecs that can be widely adopted to safeguard digital image integrity. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re scrolling through social media and you see a picture that seems fake. How do you know it’s real? This paper talks about how to make sure pictures are authentic. They developed a new way to add secret codes, called watermarks, to images when they’re compressed. If someone tries to tamper with the image, these watermarks will show up and make the picture look bad. The researchers tested this idea and showed that it works well. This technology could help keep people from sharing fake pictures on social media. |
Keywords
» Artificial intelligence » Embedding » Encoder decoder » Latent space » Neural network
