人工智能数字水印测评方法研究与测评平台构建  

Watermark Evaluation Research and Platform Construction for Artificial Intelligence

作　　者：荣先进 王垚飞 胡东辉[1] RONG Xianjin;WANG Yaofei;HU Donghui(School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230000,China)

机构地区：[1]合肥工业大学计算机与信息学院,合肥230000

出　　处：《宇航计测技术》2025年第2期91-96,102,共7页Journal of Astronautic Metrology and Measurement

摘　　要：数字水印技术通过在数据中嵌入唯一标识,实现了数据的可追溯性,不仅提升了智能模型输出的可靠性,还增强了公众对人工智能系统的信任。然而,当前,特别是在人工智能领域,数字水印技术还缺乏科学统一的评价指标和规范的测评流程。本研究聚焦于图像水印技术和音频水印技术在人工智能领域的应用,结合智能模型的实际使用场景,设计了科学的测评指标,实现了测评的规范化。同时,构建了测评平台,实现了测试自动化和评估一体化,为提升水印技术在人工智能模型应用领域的溯源能力和应用水平提供了有力支撑,对确保人工智能的安全和可控发展具有重要意义。Digital watermarking achieves data traceability by embedding unique identifiers in the data, which not only improves the reliability of the output of the intelligent model, but also enhances the public's trust in the AI system.However, the current digital watermarking technology, especially in the field of AI,lacks a scientific and unified evaluation process and specification.The application of image watermarking technology and audio watermarking technology in the field of artificial intelligence are focused on, combining the actual use scenarios of specific intelligent models, scientific evaluation indexes are designed and the standardisation of evaluation is achieved.Meanwhile, an evaluation platform is constructed to achieve test automation and evaluation integration, which provides strong support for improving the traceability and application level of watermarking technology in the application field of artificial intelligence models, and is of great significance for ensuring the safe and controllable development of artificial intelligence.

关 键 词：数字水印 人工智能 自动化测评 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] V19[自动化与计算机技术—控制科学与工程]