Use a real-life example of an AI system to discuss some impacts of cyber attacks : Confidentiality, Availability, and In

The video tutorial discusses the threats faced by AI applications, drawing parallels to traditional cybersecurity threats like confidentiality, availability, and integrity. It explains how malicious actors can exploit AI systems through various attacks, such as confidentiality breaches, availability attacks, and integrity attacks. Specific methods like poisoning, privacy breaches, and backdoor attacks are introduced, highlighting the vulnerabilities of AI systems and the need for robust security measures.

What is a common threat to both traditional IT solutions and AI systems?

• Confidentiality

• Scalability

• User Interface

• Data Redundancy

How can hackers exploit AI systems to learn more about their internals?

• By using brute force attacks

• By increasing server capacity

• By analyzing targeted ad responses

• By encrypting data

What is the goal of an availability attack on an AI system?

• To increase user engagement

• To disable the system's functionality

• To enhance the system's performance

• To improve data accuracy

What is adversarial reprogramming in the context of AI attacks?

• Flooding AI with irrelevant data

• Encrypting AI datasets

• Improving AI model accuracy

• Using AI to solve personal tasks

What is a poisoning attack in AI systems?

• An attack that alters training data

• An attack that increases system speed

• An attack that encrypts AI data

• An attack that improves data privacy