Artificial intelligence: secure and robust design

Artificial intelligence: secure and robust design

This module aims at exploring the various stages involved in designing an AI-based approach across a range of application areas, including cybersecurity, whilst highlighting the security threats involved. Guidelines for safe design and tools for safety assessment will be provided. 

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Topics

An overview of the various approaches based on Artificial Intelligence. Machine Learning, Deep Learning, generative Models. Supervised learning and unsupervised learning. Critical aspects in defining the data model, managing the training set, selecting the learning algorithm and estimating parameters, as well as challenges during the operational phase. Threat models definition. Robust design techniques. Tools for assessing the security and robustness of the developed system.

Target

  • Software development companies or third-party solution integrators.
  • Designers and software developers.

Course structure

Artificial intelligence: secure and robust design

Index

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