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2024

Research about the Ability of LLM in the Tamper-Detection Area

Yang, Xinyu, Zhou, Jizhe

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In recent years, particularly since the early 2020s, Large Language Models (LLMs) have emerged as the most powerful AI tools in addressing a diverse range of challenges, from natural language processing to complex problem-solving in various domains.

In the field of tamper detection, LLMs are capable of identifying basic tampering activities.To assess the capabilities of LLMs in more specialized domains, we have collected five different LLMs developed by various companies: GPT-4, LLaMA, Bard, ERNIE Bot 4.0, and Tongyi Qianwen.
This diverse range of models allows for a comprehensive evaluation of their performance in detecting sophisticated tampering instances.We devised two domains of detection: AI-Generated Content (AIGC) detection and manipulation detection.
AIGC detection aims to test the ability to distinguish whether an image is real or AI-generated.

Research about the Ability of LLM in the Tamper-Detection Area · Around

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J. Fridrich, “Methods for tamper detection in digital images,” in Multimedia and Security, Workshop at ACM Multimedia , vol. 99, 1999, pp. 29–34
1999
Earlier work this paper cites.
M. Mishra and F. Adhikary, “Digital image tamper detection techniques-a comprehensive study,” arXiv preprint arXiv:1306.6737 , 2013
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2013
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