Summary of Fake Artificial Intelligence Generated Contents (faigc): a Survey Of Theories, Detection Methods, and Opportunities, by Xiaomin Yu et al.
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
by Xiaomin Yu, Yezhaohui Wang, Yanfang Chen, Zhen Tao, Dinghao Xi, Shichao Song, Simin Niu, Zhiyu Li
First submitted to arxiv on: 25 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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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 The abstract discusses the recent advancements in Large Language Models (LLMs) and Diffusion Models (DMs), which have enabled the creation of artificial intelligence-generated content (AIGC). These technologies have far-reaching implications for various aspects of daily life and work, but they also pose new challenges in distinguishing genuine information from Fake Artificial Intelligence-Generated Content (FAIGC). The authors propose a new taxonomy to categorize FAIGC methods, explore modalities and generative technologies, introduce detection methods, summarize benchmarks, and discuss outstanding challenges and future research directions. This paper provides an overview of the current state-of-the-art in FAIGC, its applications, and the need for effective detection methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper talks about how artificial intelligence can create content, like articles or images, which is changing our lives. But sometimes this AI-generated content is fake, and it’s hard to tell what’s real and what’s not. The authors are trying to help by creating a new way to categorize these fake contents, understanding how they’re made, and finding ways to detect them. They want to make sure we can trust the information we find online. |
Keywords
» Artificial intelligence » Diffusion
