arXiv Open Access 2024

Adversarial Patch for 3D Local Feature Extractor

Yu Wen Pao Li Chang Lai Hong-Yi Lin

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Abstrak

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.

Topik & Kata Kunci

cs.CV

Penulis (3)

Yu Wen Pao

Li Chang Lai

Hong-Yi Lin

Format Sitasi

APA MLA BibTeX

Pao, Y.W., Lai, L.C., Lin, H. (2024). Adversarial Patch for 3D Local Feature Extractor. https://arxiv.org/abs/2406.08102

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓