Adversarial Attack on Facial Recognition using Visible Light

Understand

The use of deep learning for human identification and object detection is becoming ever more prevalent in the surveillance industry.

• These systems have been trained to identify human body's or faces with a high degree of accuracy.
• However, there have been successful attempts to fool these systems with different techniques called adversarial attacks.
• This paper presents a final report for an adversarial attack using visible light on facial recognition systems.