ASSET Seminar: “Poison and Cure: Non-Convex Optimization Techniques for Private Synthetic Data and Reconstruction Attacks”
Abstract: I will survey recent results describing the application of modern non-convex optimization methods to the problems of reconstruction attacks on private datasets (the “poison”), and the algorithmic generation of […]
ASSET Seminar: Yao Fu (University of Edinburgh)
ASSET Seminar: Işil Dillig (University of Texas at Austin)
ASSET Seminar: Matt Frederickson (Carnegie Mellon University)
ASSET Seminar: Virginia Smith (Carnegie Mellon University)
ASSET Seminar: “Towards Improving the Reliability of AI: Perspectives from Uncertainty Quantification and Fairness”
Abstract: Artificial intelligence holds enormous promise to automate our life. At the same time, AI systems can be incredibly brittle, unreliable, and biased. In this talk, I will present a few […]
ASSET Seminar: “Curious Embeddings, Hazy Oracles, and the Path to Safe, Cooperative AI”
Abstract: Cooperation through safe and trustworthy communication and interaction is fundamental to how human teams accomplish complex tasks. Yet, despite significant–and sometimes revolutionary–advances in AI, we have barely begun to […]
IDEAS Seminar: “Equivariant Neural Inertial Odometry”
Abstract: In this talk, we introduce a new class of problems related to integrating inertial measurements obtained from an IMU that play a significant role in navigation combined with visual […]
Biomedical Data Science Seminar Series – “Unlocking Brain Insights: Machine Learning for Neuroimaging Studies”
Modern neurotechnologies generate vast and intricate imaging data across multiple modalities, capturing nuanced aspects of brain structure and function in both healthy and diseased states, thus propelling neuroimaging into the […]