Lecture 6: Model Extraction Attacks
In this lecture, we define model extraction and the motivations behind the attack; model extraction threat models; model extraction strategies; connection between model extraction and other attacks such as adversarial examples and privacy motivated inference attacks; and defense countermeasures against model extraction. Course website: https://trustworthy-ml-course.github.io/

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Lecture 7: Interpretable Machine Learning

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Shor's Algorithm for Quantum Computing - Computerphile

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What's actually inside a Large Language Model? #AI #LLM #Transformer #PyTorch

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On Evaluating Adversarial Robustness

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THESE Apps Are SPYING on You — Shut Them Off NOW!

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Lecture 5: Membership Inference Attacks

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

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But what is a neural network? | Deep learning chapter 1

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Don't learn AI Agents without Learning these Fundamentals

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Model Leeching: An Extraction Attack Targeting LLMs

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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

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Lecture 8: Fairness in Machine Learning

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Training Sand to Think: Artificial General Intelligence & Future of Physics

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Something is jamming GPS over Europe. Here's what we found

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The Ultimate Beginner’s Guide to Hermes Agent

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Stealing Neural Networks With Model Extraction Attacks

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The strange coincidence that led Einstein to general relativity – Adam Brown

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