The Security of Machine Learning Models | Pursuing a PhD in Artificial Intelligence at TU Delft

In this video, PhD candidate Daniël Vos talks about his paper “Optimal Decision Tree Policies for Markov Decision Processes.” Watch and learn more about his research! 🎥 What You'll See in This Video: 00:00:00 Intro 00:00:15 Meet PhD candidate Daniël 00:00:20 What is the paper about? 00:00:46 Goal of the research 00:00:56 Method of the research 00:01:08 Findings of the research 00:02:03 Outro 💡 This video was recorded at the TU Delft PhD Poster Event 2024. At the event, PhD candidates had the chance to pitch their posters and engage with peers in their respective categories. Daniël Vos, from the TU Delft faculty Electrical Engineering, Mathematics and Computer Science and the Cyber Analytics Lab, won in the category of Machine Learning & Foundational AI Techniques with his poster pitch on Optimal Decision Tree Policies for Markov Decision Processes. His research focuses on the security of machine learning models, particularly their robustness against adversarial examples. 🔗 Useful Webpages 👉 Watch more video's about AI: https://edu.nl/c4npn 👉 Learn more about TU Delft | AI Initiative: https://edu.nl/cymea 👉 Learn more about research regarding Digital Society: https://edu.nl/6tamr 👉 All AI related vacancies at TU Delft: https://edu.nl/xw9pb 📱 Social Media Channels of TU Delft: ✅ Instagram: https://edu.nl/upny4 ✅ LinkedIn: https://edu.nl/cb3y8 ✅ X: https://edu.nl/drfmj ✅ Facebook: https://edu.nl/nkvhj