Explain the negative impacts of artificial intelligence systems on society : Comparing Metrics and Choosing the Best Att

The video tutorial discusses comparing different attack methods on AI models, focusing on misclassification ratios and other metrics like confidence and perceptibility. It highlights the strengths and weaknesses of various attacks, such as CW and PGD, and emphasizes the importance of understanding AI application environments to choose the right attack and defense strategies. The tutorial concludes by encouraging viewers to configure and test different attacks and introduces the concept of defenses.

What is the primary goal when configuring attacks for comparison?

• To minimize computational cost

• To achieve the highest accuracy

• To maximize the misclassification ratio

• To ensure the fastest execution time

Which attack evaluation metric indicates the confidence level of adversarial examples?

• Misclassification ratio

• Average confidence on adversarial class

• Structural similarity

• Robustness

What does a high average structural similarity value suggest about an attack?

• The attack is easily detectable

• The attack is highly robust

• The attack is imperceptible to humans

• The attack is ineffective

Why might the CW attack be unsuitable for real-world scenarios?

• It requires too much data

• Small changes can invalidate the attack

• It is not precise enough

• It is too slow to execute

What is crucial for selecting the right attack and defense strategy?

• Minimizing the number of attacks

• Maximizing computational resources

• Understanding AI application threads and environment

• Ensuring the fastest execution time