MA4b: Trustworthy Learning I
Mon, 28 Oct, 10:15 - 11:55 PT (UTC -8)
Location: Nautilus
Session Type: Lecture
Session Chair: Weiyu Xu, University of Iowa
Track: Adaptive Systems, Machine Learning, and Data Analytics
Mon, 28 Oct, 10:15 - 10:40 PT (UTC -8)

MA4b.1: Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
Jirong Yi, Raghu Mudumbai, Weiyu Xu, University of Iowa, United States
Mon, 28 Oct, 10:40 - 11:05 PT (UTC -8)

MA4b.2: Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models
Amirhossein Ravari, Northeastern University, United States; Guangyu Jiang, Zuyuan Zhang, George Washington University, United States; Mahdi Imani, Northeastern University, United States; Robert H. Thomson, Aryn A. Pyke, Nathaniel D. Bastian, United States Military Academy, West Point, United States; Tian Lan, George Washington University, United States
Mon, 28 Oct, 11:05 - 11:30 PT (UTC -8)

MA4b.3: Learning Fair Robustness via Domain Mixup
Meiyu Zhong, Ravi Tandon, University of Arizona, United States
Mon, 28 Oct, 11:30 - 11:55 PT (UTC -8)

MA4b.4: Causal Discovery with Unequal Edge Error Tolerance
Joni Shaska, Urbashi Mitra, University of Southern California, United States