Podcast
Questions and Answers
Which of the following best describes the primary goal of adversarial machine learning?
Which of the following best describes the primary goal of adversarial machine learning?
- To create datasets that are free from biases and vulnerabilities.
- To improve the robustness of machine learning models against malicious attacks. (correct)
- To enhance the accuracy of machine learning models by training on adversarial examples.
- To develop new machine learning algorithms that are inherently secure.
Suppose a self-driving car's object detection system is fooled by an adversarial patch on a stop sign. Which security property is primarily violated in this scenario?
Suppose a self-driving car's object detection system is fooled by an adversarial patch on a stop sign. Which security property is primarily violated in this scenario?
- Confidentiality
- Authenticity
- Availability
- Integrity (correct)
A researcher is evaluating the robustness of a facial recognition system against adversarial attacks. What evaluation metric would be most appropriate to use?
A researcher is evaluating the robustness of a facial recognition system against adversarial attacks. What evaluation metric would be most appropriate to use?
- Accuracy on a balanced dataset.
- Adversarial success rate. (correct)
- Accuracy on clean (unperturbed) data.
- Inference time.
Which type of adversarial attack involves manipulating the input data in a way that is imperceptible to humans but causes a machine learning model to make incorrect predictions?
Which type of adversarial attack involves manipulating the input data in a way that is imperceptible to humans but causes a machine learning model to make incorrect predictions?
During a poisoning attack, what is the attacker's primary goal?
During a poisoning attack, what is the attacker's primary goal?
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Study Notes
GATE Solution in Mining Engineering
- The book contains solved questions from GATE examinations in Mining Engineering, spanning from 2007 to 2015.
- It's authored by RUPESH KUMAR SAHU and published by LOVELY PRAKASHAN, DHANBAD.
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