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Classroom Contents
Trusted and Responsible AI - Explainability, Adversarial Attacks, Bias, and Fairness
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- 1 OPEN SOURCE SUMMIT
- 2 Speaker Profile
- 3 Introduction
- 4 The Principles of responsible Al
- 5 Why XAI is important?
- 6 Adversarial Machine Learning Defenses
- 7 Adversarial training
- 8 Switching models
- 9 Generalised models
- 10 Poisoning attacks
- 11 Evasion attacks
- 12 Model stealing
- 13 Methods of combating attacks
- 14 Fixing biases in Al and machine learning algorithms
- 15 Conclusion
