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The Power of Opening the Black Box of Deep Learning
Speaker: Chaoyue Liu Date: Mar 29, 11:45am–12:45pm Abstract: We are now observing an ongoing “AI spring” powered by the emergence and successful implementation of deep…
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Data-Efficiency and Robustness in Machine Learning
Speaker: Shiwei Zeng Date: Mar 27, 11:45am–12:45pm Abstract: Machine learning has been a powerful tool in the modern world. In the past decades, due to…
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Learning to Synthesize Images with Multimodal and Hierarchical Inputs
Speaker: Yu Zeng Date: Mar 25, 11:45am–12:45pm Abstract: In recent years, the field of image synthesis and manipulation has experienced remarkable advancements driven by the…
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Achieving Compositional Safety and Security in IoT Environments
Speaker: Muslum Ozgur Ozmen Date: Mar 8, 11:45am–12:45pm Abstract: The Internet of Things (IoT) systems include sensors that measure the physical world, actuators that influence…
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Ensuring Policy and Privacy Compliance of Voice Personal Assistant Applications
Speaker: Song Liao Date: Mar 6, 11:45am–12:45pm Abstract: Voice personal assistants (VPAs) such as Amazon Alexa and Google Assistant are rapidly gaining popularity in both…
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Collaborative IoT Communications, Networking and Beyond
Speaker: Xin Liu Date: Mar 5, 11:45am–12:45pm Abstract: The rapid expansion of IoT technology is revolutionizing a wide array of applications, from smart homes and…
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Trustworthy Systems from Secure Computation and Verification
Speaker: Chenkai Weng Date: Mar 4, 11:45am–12:45pm Abstract: With the advancement of digital globalization and the enhancement of privacy regulations, a conflict between centralized computing…
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Causal Machine Learning: Continuous Structure Learning and Identifiability of Causal Invariances
Speaker: Kevin Bello Date: Mar 1, 11:45am–12:45pm Abstract: Interpretability and causality are key desiderata in modern machine learning systems. Graphical models, and more specifically directed…
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Securing Embedded Systems Using Compartmentalization
Speaker: Arslan Khan Date: Feb 29, 11:45am–12:45pm Abstract: Embedded systems are low-power resource-constrained devices implementing specialized tasks, unlike general-purpose computers. Embedded systems find applications in…
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Toward Secure Federated Learning
Speaker: Minghong Fang Date: Feb 28, 11:45am–12:45pm Abstract: Federated learning is a distributed machine learning approach that enables multiple clients (e.g., smartphones, IoT devices, and…