Data Privacy in Machine learning and artificial intelligence

This course will develop your understanding of artificial Intelligence (AI) , machine learning and data privacy. It will help you understand the data privacy issues present in AI and machine learning, and look at some of the attacks possible and ways to protect data against these.

The course will introduce what artificial intelligence (AI) and machine learning (ML) are.

This course will help you to:

• Understand what ‘White box’ and ‘Black box’ attacks are.
• Understand some of the ways models retain training data.
• Understand membership inference, attribute inference and model Inversion attacks.
• Know the advantages and disadvantages of some Privacy Enhancing Technologies.
• Understand the considerations when using personal data to train Machine Learning or Artificial Intelligence models.

Learning outcomes

This course covers data privacy issues with machine learning and artificial intelligence.

You will have an understanding of :

• Membership inference attacks.
• Attribute inference attacks.
• Model Inversion attacks.

You will have a basic understanding of what some Privacy Enhancing Technologies are, and of other controls that can be used to keep data safe.

You will be aware of the principles to apply to make using data for AI and machine learning safe.

How to book

Please use your Learning Hub account to enrol on this course.

If you do not have a Learning Hub account, please contact Data.Science.Campus.Faculty@ons.gov.uk.

Contact

If you would like more information about this course, please email SDC.queries@ons.gov.uk.