How can you test AI software for robustness against facial recognition attacks?
Facial recognition is one of the most widely used applications of artificial intelligence (AI) in various domains, such as security, health, and entertainment. However, facial recognition systems are also vulnerable to various types of attacks, such as spoofing, evasion, and poisoning, that can compromise their accuracy and reliability. Therefore, testing AI software for robustness against facial recognition attacks is a crucial step in ensuring its quality and performance. In this article, you will learn about some of the common facial recognition attacks, how to simulate them using different tools and techniques, and how to evaluate the robustness of your AI software against them.