Securing the Next Billion Consumer Devices on the Edge
Guest Speaker: Dr. Hamed Haddadi, Reader in Human-Centered Systems, Department of Computing, Imperial College London
Moderated by: Dr. Reza Rawassizadeh, Associate Professor of Computer Science
December 9, 2022
Abstract: In the next 5 years, I aim to address a major challenge in the adoption of user-centered privacy-enhancing technologies: Can we leverage novel architectures to provide private, trusted, personalized, and dynamically- configurable models on consumer devices to cater for heterogenous environments and user requirements? Importantly, such properties must provide assurances for the data integrity and model authenticity/trustworthiness, while respecting the privacy of the individuals taking part in training and improving such models , in particular when dealing with sensitive models and data from the consumer Internet of Things (IoT) devices. I will discuss some of the use cases in the space of IoT, edge computing, and browsers.
Speaker Bio: Hamed is a Reader in Human-Centered Systems at the Department of Computing at Imperial College London. He also serves as a Security Science Fellow of the Institute for Security Science and Technology. In his industrial role, he is the Chief Scientist at Brave Software where he works on developing privacy-preserving analytics protocols. He is interested in User-Centered Systems, IoT, Applied Machine Learning, and Data Security & Privacy. He enjoys designing and building systems that enable better use of our digital footprint, while respecting users’ privacy.