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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…
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Security of AI-enabled Perception Systems in Autonomous Driving
Speaker: Yi Zhu Date: Feb 27, 11:45am–12:45pm Abstract: Autonomous vehicles (AVs) are visioned as a revolutionary power for future transportation. A fundamental function of AV…
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An Adversarial Perspective on the Machine Learning Pipeline
Speaker: Fnu Suya Date: Feb 26, 11:45am–12:45pm Abstract: Machine learning models are often vulnerable to attacks during both training and test phases, yet the risks…
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Trustworthy and Scalable Machine Learning
Speaker: Yang Zhou Date: Feb 23, 11:45am–12:45pm Abstract: Machine learning (ML), a powerful tool for automatically extracting, managing, inferencing, and transferring knowledge, has been proven…