一个定制的图像编辑框架,用于非法在线交易中的各种禁止和受限制的产品
Wenjin Liu1, Jingyu Zou1, Shudong Zhang1
1School of Cyberspace Security (School of Cryptology), Hainan University, No. 58, Renmin Avenue, Haikou, 570228, Hainan, China.
Scientific reports
|July 2, 2025
概括
开发了一个新的多式联网数据集和图像编辑框架,以打击禁止和受限制商品的非法在线交易. 这项技术增强了对更安全的电子商务的智能监督.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 电子商务 安全 安全 电子商务
背景情况:
- 禁止和受限制商品的在线交易破坏了消费者权利和公共安全.
- 缺乏专门的数据集,阻碍了对非法在线贸易的有效监管.
- 由于这些商品的多样性和潜在的对抗性操纵,对这些商品的智能识别具有挑战性.
研究的目的:
- 为禁止和受限制的货物提出一个多式联运数据集和图像编辑框架.
- 加强对涉及非法物品的在线交易的智能监督.
- 为了应对识别多样化和改造的禁止货物的挑战.
主要方法:
- 开发一个包含38,513个图像和77,026个文本的多式联络数据集.
- 引入了一个PR适配器,通过增强和压缩优化图像提示.
- 集成CLIP和MobileVLM以生成精确的图像文本描述.
- 微调稳定的扩散模型,具有新的损失函数,以改进基于文本的图像生成.
主要成果:
- 拟议的框架成功地产生了禁止和受限制商品的多样化和准确的图像.
- 该系统展示了对图像生成的文本语义的增强理解.
- 有效地提高在线市场智能监督的能力.
结论:
- 开发的多式联运数据集和图像编辑框架为在线禁止和受限制商品的监管提供了重大进展.
- 这种方法为智能监管提供了强大的解决方案,有助于更安全的在线交易.
- 该框架能够生成准确和多样化的图像,有助于检测和控制非法电子商务活动.
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