MACHINE LEARNING SECURITY

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  • DURATION
    20 WEEKS
  • SUBJECT AREA
    Security
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    6.0 HP
  • INSTITUTION
    Blekinge Institute of Technology
  • START DATE
    2022-01-17
  • END DATE
    2022-06-05

Applications 2021-09-15 - 2022-01-16

COURSE DESCRIPTION

The main objective of this course is to acquaint students with existing approaches, methods, and tools of machine Learning (ML) for security as well as unveil security issues in ML itself.

This course is divided into the following two parts. First, it covers security problems in Machine Learning (ML) systems, e.g., showing various types of attacks on ML systems in an applied fashion – adversarial ML. Secondly, available methods, tools and other safeguards that could be used against the different types of attacks are covered. The course includes both theoretical introductions to the different attack types and security-enhancing methods and tools, as well as more practical hands-on assignments in Python. After the course the student will have obtained basic knowledge about security-enhancing approaches, and how to use them in order to protect against various risks in ML systems and how to use ML to detect cyber attacks.

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