Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : The Future of AI Attacks

The video discusses the vulnerabilities of AI algorithms, highlighting their similarities to human brain functions, especially in image processing. It explores adversarial attacks that can manipulate perceptions in both AI and humans. The video also examines speech perception mechanisms and their resemblance to attention models in neural networks. Finally, it delves into privacy attacks that exploit hidden data channels, such as body language, to uncover personal information.

What is a potential vulnerability of face recognition systems?

• They require a large amount of data to function.

• They cannot recognize faces in low light.

• They are too expensive to implement widely.

• They can be easily fooled by wearing special glasses.

How do adversarial attacks affect human perception?

• They can alter an image to change what people perceive it to be.

• They can make people see different colors.

• They can change the temperature of a room.

• They can make people hear different sounds.

What is a similarity between human speech perception and neural networks?

• Both require visual input to function.

• Both use attention-based models to understand context.

• Both can interpret words without any context.

• Both rely on physical gestures to convey meaning.

What is a privacy attack in the context of human communication?

• An effort to uncover hidden personal information through non-verbal cues.

• A method to hack into someone's phone.

• An attempt to steal someone's identity.

• A way to manipulate someone's emotions through music.

Which of the following is a hidden data leakage channel?

• Facial recognition software

• Email addresses

• Body temperature

• Social media profiles