针对3D局部特征提取器的对抗补丁
Adversarial Patch for 3D Local Feature Extractor
AI总结：
本文研究针对3D局部特征提取器的对抗补丁攻击，通过补丁分别强制非匹配区域匹配或阻止匹配区域匹配，并比较不同补丁生成方法的性能与缺陷。
摘要：
局部特征提取器是许多计算机视觉任务的基石。然而，它们对对抗攻击的脆弱性可能会严重削弱其有效性。本文讨论了攻击复杂局部特征提取算法和模型的方法，以实现两个不同目标：（1）迫使原本不匹配的图像区域之间产生匹配；（2）阻止原本匹配的区域之间发生匹配。在论文末尾，我们讨论了不同补丁生成方法的性能和缺点。
英文摘要：
Local feature extractors are the cornerstone of many computer vision tasks. However, their vulnerability to adversarial attacks can significantly compromise their effectiveness. This paper discusses approaches to attack sophisticated local feature extraction algorithms and models to achieve two distinct goals: (1) forcing a match between originally non-matching image regions, and (2) preventing a match between originally matching regions. At the end of the paper, we discuss the performance and drawbacks of different patch generation methods.
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。
