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Safe, Robust, and Generalizable Machine Learning for Power Systems
Greg Bronevetsky
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Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models
Stanford Online
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1:30:52
Frontiers in Machine Learning: Machine Learning Reliability and Robustness
Microsoft Research
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Stanford Fireside Talks: Robustness in Machine Learning I Robust Machine Learning
Stanford Online
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Can We Make Machine Learning Safe for Safety-Critical Systems?
Software Engineering Institute | Carnegie Mellon University
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Novel Metrics for Robust Machine Learning
UC Berkeley Center for Long-Term Cybersecurity
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1:02:07
Safety and robustness for deep learning with provable guarantees - Marta Kwiatkowska - Oxford
The Alan Turing Institute
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58:33
Phil Thomas, "Safe and Fair Machine Learning: A Seldonian Approach" | Johns Hopkins IAA
Johns Hopkins Institute for Assured Autonomy
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3:19
What Are Robustness And Reliability In AI Systems? - AI and Machine Learning Explained
AI and Machine Learning Explained
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20:01
(ISIT 2021) Robust Machine Learning via Privacy/Rate Distortion Theory
Mitsubishi Electric Research Laboratories (MERL)
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