Timetable for the TrustML YSS online seminars from Jan. to Feb., 2023. Time (JST)Time (Your Browser)TitleSpeaker Video Link 11:00-12:00 03/03/2023 Economic Modeling, Decision-Making, and Mechanism Design using the AI Economist:Stephan Zheng (Salesforce Research) Video 17:00-18:00 10/03/2023 Learning Efficiently from Data using Sparse Neural Networks:Zahra Atashgahi (University of Twente) Video 18:00-19:00 10/03/2023 Generative Computer Vision: Robust Generalization with Analysis-by-Synthesis:Adam Kortylewski (Max Planck Institute for Informatics) Video 09:00-10:00 17/03/2023 A data-centric view on reliable generalization: From ImageNet to LAION-5B Ludwig Schmidt (U Washington) Video 10:00-11:00 24/03/2023 ML SafetyDan Hendrycks (UC Berkeley) Video 09:00-10:00 27/03/2023 Provable Domain Generalization via Invariant-Feature Subspace Recovery: Han Zhao (University of Illinois at Urbana-Champaign) Video 10:00-11:00 27/03/2023 Great Haste Makes Great Waste: Exploiting and Attacking Efficient Deep Learning Sanghyun Hong (Oregon State University) Video 10:00-11:00 28/03/2023 Netflix and Forget:Mimee Xu (New York University) Video 18:00-19:00 29/03/2023 Imitation Attacks and Defenses:Xuanli He (University College London) Video 11:00-12:00 30/03/2023 Global Optimization with Parametric Function Approximation:Chong Liu (UC Santa Barbara) Video 10:00-11:00 04/04/2023 Biologically Inspired Foveation Filter Improves Robustness to Adversarial Attacks:Muhammad Ahmed Shah (Carnegie Mellon University) Video 17:00-18:00 18/04/2023 Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data:Yuki Funabiki (Sony Group Corporation JAPAN) Video 10:00-11:00 20/04/2023 The Vulnerabilities of Preprocessing in Adversarial Machine Learning:Yue Gao (University of Wisconsin at Madison) Video 11:00-12:00 20/04/2023 Towards Sample-Optimal Offline Reinforcement Learning:Ming Yin (UC Santa Barbara) Video
