4 papers
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
In this work, we investigate the potential threat of adversarial examples to the security of face recognition systems. Although previous research has explored the adversarial risk…
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
Deep Metric Learning (DML) is a prominent field in machine learning with extensive practical applications that concentrate on learning visual similarities. It is known that inputs…
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems
Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki
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 (AX…
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems
Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki +1
This paper introduces a novel adversarial example generation method against face recognition systems (FRSs). An adversarial example (AX) is an image with deliberately crafted noise…