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Cybersecurity threats to AI systems

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

10 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Workers

This nugget serves as an essential gateway to the intricate world of cybersecurity threats facing modern machine learning systems.
Its primary objective is to equip the learner with fundamental knowledge required to comprehend the intricate landscape of security in the context of AI and ML.
By delving into this nugget, you will not only become familiar with prevalent types of attacks but also gain insight into the overarching taxonomy of threats that target AI and ML systems. This foundational understanding will empower you to navigate the complex cybersecurity challenges these systems encounter in contemporary settings with confidence.


Learning outcomes

  1. Classify different threats to AI/ML systems
  2. Recognize threats within the STRIDE framework
  3. Explain Robustness in the context of ML

Topics

Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Data mining

Content created in 2023
+268 enrolled
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