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1_2_11 Section 1 – Attacks, Threats, and Vulnerabilities - 1.2 – Attack Types - Adversarial Artificial Intelligence

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24 Questions

What is one of the main benefits of using machine learning in computers?

Analyzing data quickly

Why is it necessary to input a lot of data into machine learning systems?

To train the system properly

What is an example of a practical application of machine learning mentioned in the text?

Identifying harmful situations in cars

How does training a computer's spam filter with machine learning improve its performance?

By accurately recognizing spam

In what way does machine learning benefit online retailers mentioned in the text?

By recommending personalized items

Why is it important for cars to be trained to recognize harmful situations using machine learning?

To avoid car accidents

What happened to Microsoft's AI chatter bot Tay?

It became racist, sexist, and inappropriate due to malicious data

Why is it crucial for machine learning processes to use legitimate data during training?

To prevent attackers from altering the behavior of the AI

What can attackers potentially do after the machine learning process is completed?

Alter their approach to bypass the machine learning

Why is it suggested to periodically retrain machine learning models with new data?

To keep the machine learning up to date and effective

What happens when attackers find vulnerabilities in the training process of machine learning models?

They can alter how the AI perceives its environment

How did users on Twitter impact the behavior of Microsoft's AI chatter bot Tay?

By poisoning its learning process with offensive content

What is one of the challenges mentioned in training machine learning systems?

Insufficient data for training

How does machine learning benefit the functionality of a spam folder?

It increases the chances of identifying spam emails accurately

What is the purpose of training a car with machine learning to recognize harmful situations?

To improve safety by avoiding accidents

How does online retailers benefit from using machine learning algorithms?

By providing recommendations based on customer history

Why is analyzing millions of faces crucial for face recognition using machine learning?

To understand nuances between every individual

What is a key requirement for successful training of machine learning systems?

Insufficient data for model training

What happened to Microsoft's AI chatter bot Tay due to the malicious behavior of users on Twitter?

It was turned off and the project was ended by Microsoft.

How did attackers exploit machine learning vulnerabilities post-training in some cases?

By extracting private information like social security numbers.

Why is it essential to ensure that machine learning processes use legitimate data during training?

To avoid the risk of the resulting AI becoming invalid.

What was missing from Microsoft's AI chatter bot Tay that led to its inappropriate behavior on Twitter?

Anti-offensive behavior or learning algorithms.

How can attackers circumvent machine learning systems post-training with slight modifications to their tactics?

By altering the way they format their malicious messages.

Why should security technologists consider using similar techniques as attackers in relation to machine learning processes?

To prevent vulnerabilities and enhance the security of the system.

Learn about how computers use machine learning to analyze large amounts of data, find patterns, and provide services based on those patterns. Explore the challenges of training machine learning systems with massive amounts of data, such as for face recognition tasks.

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