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 most important parameter to configure for attacks?

How can you ensure that all attacks have almost the same misclassification ratio?

What does the average confidence on adversarial class indicate for different attacks?

What is the significance of perceptibility in the context of attacks?

What are the advantages and disadvantages of different attack methods?