Summary of Advi2i: Adversarial Image Attack on Image-to-image Diffusion Models, by Yaopei Zeng et al.
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models
by Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin
First submitted to arxiv on: 28 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces a novel framework called AdvI2I that manipulates input images to induce image-to-image (I2I) diffusion models to generate Not Safe for Work (NSFW) content. This is achieved by optimizing a generator to craft adversarial images, which circumvents existing defense mechanisms without altering the text prompts. The authors also propose an enhanced version called AdvI2I-Adaptive that adapts to potential countermeasures and minimizes the resemblance between adversarial images and NSFW concept embeddings. The paper demonstrates the effectiveness of both frameworks in bypassing current safeguards, highlighting the urgent need for stronger security measures to address the misuse of I2I diffusion models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers created a way to trick image-to-image models into making explicit content. They did this by creating special images that can fool the model into producing NSFW pictures. The method is called AdvI2I and it works without changing any text prompts. The team also made an improved version called AdvI2I-Adaptive that can change its strategy to avoid being caught by defenses. The results show that both methods are very good at getting around current security measures, which means we need better ways to stop them from producing explicit content. |
Keywords
» Artificial intelligence » Diffusion
