What is the primary goal of a poisoning attack in machine learning?
Use a real-life example of an AI system to discuss some impacts of cyber attacks : Poisoning Attacks, Privacy, and Backd

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To improve data privacy
To speed up the training process
To change the classification boundary
To enhance the model's accuracy
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which strategy allows an adversary to modify only the labels in a supervised learning dataset?
Data injection
Logic corruption
Label modification
Data modification
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a model extraction attack?
An attack to corrupt model logic
An attack to extract data from a model
An attack to improve model efficiency
An attack to modify training data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can privacy attacks compromise confidentiality?
By enhancing data encryption
By retrieving information through inference attacks
By improving model accuracy
By reducing data redundancy
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main objective of a backdoor attack?
To inject additional behavior that persists after retraining
To enhance data security
To improve the model's performance
To remove existing vulnerabilities
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are backdoors difficult to detect in neural networks?
They are only present in outdated models
They are hidden within a small set of neurons
They require large datasets to be visible
They are easily removed during retraining
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What makes it challenging for small companies to detect backdoors?
Lack of computing power to retrain models
Inability to access public models
Limited data storage capacity
Insufficient training data
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