Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism

Chuan Chen;Yihao Li;Zihou Wu;Mingfeng Xu;Rui Wang;Zibin Zheng
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Abstract

With the development of the blockchain technology, a decentralized and de-trusted network paradigm has been constructed, enabling multiple digital assets like NFT, to be permanently recorded and authenticated by blockchain. Also, the uniqueness and verifiability of these assets allows them to flow and generate value between any network entities. With the emergence of AI Generative Content (AIGC), the ownership of models and generative contents, which are also digital assets, has not been well protected. Both because the black-box nature of neural networks makes it difficult to mark models' ownership and because the lack of a reliable third-party verification platform. Meanwhile, the existing model-attack threat and raising ethical problems driven the research on model watermark embedding for traceability and verification, and thus the reliable basic algorithm and the verification platform are needed. In this survey, while emphasizing the importance and reason of the ownership protection in AIGC and summarizing the recent research using model watermarking, we will also introduce the achievements of blockchain in copyright in order to summarize the research history and point out future direction of model copyright validation from both the underlying technology and the supporting platform.
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走向AIGC的可靠利用:区块链授权的所有权验证机制
随着区块链技术的发展,构建了一个去中心化、去信任的网络范式,使NFT等多种数字资产能够通过区块链永久记录和认证。此外,这些资产的唯一性和可验证性允许它们在任何网络实体之间流动并产生价值。随着人工智能生成内容(AIGC)的出现,同样是数字资产的模型和生成内容的所有权并没有得到很好的保护。一方面是因为神经网络的黑盒特性使得很难标记模型的所有权,另一方面是因为缺乏可靠的第三方验证平台。同时,模型攻击威胁的存在和伦理问题的日益突出,推动了模型水印嵌入的可追溯性和可验证性研究,需要可靠的基础算法和验证平台。在本次调查中,我们在强调AIGC中所有权保护的重要性和原因的同时,总结了最近使用模型水印的研究,并介绍了区块链在版权方面的成就,以便从底层技术和支撑平台两方面总结研究历史,指出模型版权验证的未来方向。
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