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trustworthy-ml-course authored Jan 30, 2024
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Expand Up @@ -124,7 +124,10 @@ <h4>Schedule and Materials</h4>
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<td>3</td>
<td>Adversarial Examples</td>
<td><a href= "https://drive.google.com/file/d/11xFyl0ZfjRzN9aAsy2mnvjRrPcAHnSxn/view?usp=sharing">Slides</a></td>
<td>
<a href= "https://drive.google.com/file/d/11xFyl0ZfjRzN9aAsy2mnvjRrPcAHnSxn/view?usp=sharing">Slides</a> <br>
<a href= "https://github.com/trustworthy-ml-course/trustworthy-ml-course.github.io/blob/main/demos/Demo-2.ipynb" target="_blank">Demo-2</a>
</td>
<td>
<ol>
<li><a href="https://oaklandsok.github.io/papers/papernot2018.pdf" target="_blank"> Papernot et al., SoK: Security and Privacy in Machine Learning</a></li>
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