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Updated slides on certifiable robustness
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battistabiggio committed Oct 22, 2024
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Expand Up @@ -44,13 +44,11 @@ An ability to design and evaluate robust machine learning models with Python and
1. [Introduction to the course (Updated)](slides/01-MLSec-Course-Introduction.pdf)
2. [Threat modeling and attacks on AI/ML models](slides/02-MLSec-Threat-Modeling.pdf)
3. [Evasion Attacks](slides/03-Evasion-Attacks.pdf)
4. [Poisoning Attacks and Defenses](slides/04-Poisoning-Attacks.pdf)
5. [Privacy Attacks and Defenses](slides/05-Privacy.pdf)
6. [Explainable AI/ML](slides/06-xAI.pdf)
7. [Adversarial Windows Malware (Adversarial EXEmples) - Guest Lecture by Dr. Luca Demetrio](slides/07-AdvEXE.pdf)
8. [Short History of AI: From Foundations to the EU AI Act - Guest Lecture by Prof. Fabio Roli](slides/08-AIRegulations.pdf)


4. [Certified Defenses (Guest Lecture by Dr. Fabio Brau)](slides/04-Certifiable-Robustness.pdf)
5. [Poisoning Attacks and Defenses](slides/05-Poisoning-Attacks.pdf)
6. [Privacy Attacks and Defenses](slides/06-Privacy.pdf)
7. [Explainable AI/ML](slides/07-xAI.pdf)
8. [Adversarial Windows Malware (Adversarial EXEmples) - Guest Lecture by Dr. Luca Demetrio](slides/08-AdvEXE.pdf)


**Papers for the reading group exercise**
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