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Defending Adversarial Attacks
Premium roomLearn defence mechanisms to harden machine learning models.
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Today's walkthrough continues where we left off in the Detecting Adversarial Attacks room. We'll be diving into adversarial attack techniques, but now that we have learnt to identify them, we can focus on hardening and defending against them.
Learning Prerequisites
- Detecting Adversarial Attacks
- Python proficiency is not necessary to complete the room, but it will allow you to explore the practical more deeply
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Familiarity with Jupyter Notebook (opens in new tab)
Learning Objectives
- Harden against adversarial attacks in and Machine Learning
- Implement strategies against adversarial attacks, specifically Fast Gradient Sign Method () and its variants
- Learn examples of defensive and detection mechanisms for adversarial attacks
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