C3PO：3D打印中早期恶意活动检测的数据库和基准
C3PO: Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing
摘要：
越来越多的恶意用户寻求利用3D打印技术在犯罪活动中生产非法工具的做法。目前的法规不足以应对3D打印机的快速增长。使3D打印机能够识别要打印的物体至关重要，以便在早期阶段终止非法武器的制造过程。深度学习在物体识别任务中的性能有显著提高。然而，3D打印领域缺乏大规模数据库阻碍了自动非法武器识别的进展。本文提出了一种新的3D打印图像数据库，即C3PO，它针对不同的系统工作场景折衷了两个子集。我们从22个3D模型的数控编程代码文件中提取图像，然后将图像分类为10个不同的标签。第一组由62，200个图像组成，这些图像表示笛卡尔坐标系中三个平面上的对象投影。第二组由总共671，677张图像组成，以模拟相机对打印物体的捕获。重要的是，我们证明了武器可以在任何情况下使用基于深度学习的方法，使用我们提出的数据库识别。%我们还使用训练的深度模型来构建对象感知3D打印机的原型。定量结果是有希望的，未来对数据库的探索和3D打印中的犯罪预防是艰巨的任务。
英文摘要：
Increasing malicious users have sought practices to leverage 3D printing technology to produce unlawful tools in criminal activities. Current regulations are inadequate to deal with the rapid growth of 3D printers. It is of vital importance to enable 3D printers to identify the objects to be printed, so that the manufacturing procedure of an illegal weapon can be terminated at the early stage. Deep learning yields significant rises in performance in the object recognition tasks. However, the lack of large-scale databases in 3D printing domain stalls the advancement of automatic illegal weapon recognition. This paper presents a new 3D printing image database, namely C3PO, which compromises two subsets for the different system working scenarios. We extract images from the numerical control programming code files of 22 3D models, and then categorize the images into 10 distinct labels. The first set consists of 62,200 images which represent the object projections on the three planes in a Cartesian coordinate system. And the second sets consists of sequences of total 671,677 images to simulate the cameras' captures of the printed objects. Importantly, we demonstrate that the weapons can be recognized in either scenario using deep learning based approaches using our proposed database. % We also use the trained deep models to build a prototype of object-aware 3D printer. The quantitative results are promising, and the future exploration of the database and the crime prevention in 3D printing are demanding tasks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
