Summary of Automatic Jailbreaking Of the Text-to-image Generative Ai Systems, by Minseon Kim et al.
Automatic Jailbreaking of the Text-to-Image Generative AI Systems
by Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang
First submitted to arxiv on: 26 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Cryptography and Security (cs.CR)
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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 research paper investigates the security risks associated with large language models (LLMs) in text-to-image generation systems. Recent advancements in AI have led to the development of powerful LLMs that can generate realistic images based on natural language inputs. However, this capability also poses a risk of malicious content generation, commonly referred to as “jailbreaking.” The paper focuses on evaluating the safety of commercial T2I generation systems like ChatGPT, Copilot, and Gemini against copyright infringement using naive prompts. The results show that these systems are vulnerable to attacks, with ChatGPT being particularly susceptible. To address this issue, the authors propose a novel automated jailbreaking pipeline that leverages an LLM optimizer to generate prompts that bypass safety guards. This approach successfully jailbreaks ChatGPT, generating copyrighted contents in 76% of cases. The paper concludes by exploring defense strategies, including post-generation filtering and machine unlearning techniques, which were found to be inadequate. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research looks at how powerful AI systems can create realistic images from text prompts. The problem is that these systems can also generate bad things, like copyrighted content, without permission. The study checked three popular image generation tools (ChatGPT, Copilot, and Gemini) and found they’re not very good at stopping this from happening. In fact, one tool, ChatGPT, lets in 84% of the bad prompts! To make things worse, a new way to “hack” these systems was developed that makes it even easier for them to create bad content. The researchers also tried some ways to stop this from happening but didn’t find any solutions that worked very well. |
Keywords
» Artificial intelligence » Gemini » Image generation
