ملف الباحث
Toshinori Araki
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Powerful Physical Adversarial Examples Against Practical Face Recognition Systems
2022 · arXiv (Cornell University)
It is well-known that the most existing machine learning (ML)-based safety-critical applications are vulnerable to carefully crafted input instances called adversarial examples (AXs). An adversary can conveniently attack these target systems from digital as well …