Speaker: Ruixiang Tang Date: Feb 14, 11:45am–12:45pm Abstract: As deep learning models are increasingly integrated into critical domains, their safety emerges as a critical concern. This talk delves into the emerging threat of backdoor attacks. These attacks involve...
Speaker: Han Xu Date: Feb 12, 11:45am–12:45pm Abstract: Recently, with the development of AI and ML, their corresponding safety problems, especially their vulnerability to adversarial attacks, have also become increasingly important. In order to enhance the ML safety,...
Speaker: Qi Zhang Date: Feb 9, 11:45am–12:45pm Abstract: Cooperative artificial intelligence (AI) equips a team of autonomous agents with the capability of planning and learning to maximize their joint utility, which finds a wide range of applications. While being a...
Speaker: Yaoyao Liu Date: Feb 7, 11:45am–12:45pm Abstract: In recent years, artificial intelligence (AI) has achieved great success in many fields. Although impressive advances have been made, AI algorithms still suffer from an important limitation: they rely on...
Speaker: Dongjie Wang Date: Feb 5, 11:45am–12:45pm Abstract: Unlike humans, AI systems are brittle and not robust. They often struggle when faced with novel situations, and are highly sensitive to small perturbations, which can lead to catastrophically poor...
Speaker: Zhichun Guo Date: Feb 2, 11:45am–12:45pm Abstract: Graph neural networks (GNNs) have been widely used on graph-structured data, but they also face a series of challenges in solving real-world problems, including scarcity of labeled data, scalability issues,...
