Use a real-life example of an AI system to discuss some impacts of cyber attacks : Adversarial Attacks and Their Distinc

The video tutorial discusses adversarial attacks on AI systems, focusing on how these attacks vary based on the environment and the attacker's goals. It outlines six properties of adversarial attacks, including the type of attack, the environment, and the knowledge level of the attacker. The tutorial also provides recommendations for testing AI solutions by understanding the constraints and selecting appropriate attacks based on these properties.

What are the six properties of adversarial attacks that one should consider before testing the security of an AI solution?

How does the goal of an attacker differ when targeting a face detection system versus an access control system with face recognition?

Explain the significance of the environment in the effectiveness of adversarial attacks.

Describe the method restrictions related to adversarial attacks and how they affect the changes one can perform on original data.

What are the differences between white box, gray box, and black box attacks?