Speaker: Prabhat Mishra

Abstract: This talk will provide a comprehensive overview of security attacks as well as detection techniques using explainable AI. First, I will outline a wide variety of software and hardware security threats and vulnerabilities. Next, I will introduce explainable AI algorithms to interpret machine learning models behaviors in a human-understandable way, using model distillation, Shapley value analysis, and integrated gradients. I will discuss state-of-the-art attack detection methods using explainable AI. I will also cover how to enable hardware acceleration of explainable AI models for real-time vulnerability detection. Finally, I will discuss the security threats toward machine learning models, and effective countermeasures to design robust AI models.

Biography: Prabhat Mishra is a Professor in the Department of Computer and Information Science and Engineering at the University of Florida. His research interests include embedded systems, hardware security, system-on-chip validation, explainable AI, and quantum computing. He has published 9 books, 35 book chapters, 30 patents, and more than 250 research articles. His research has been recognized by several awards including the NSF CAREER Award, IBM Faculty Award, three best paper awards, and EDAA Outstanding Dissertation Award. He currently serves as the Program Chair of CODES+ISSS 2024. He also serves as an Associate Editor of ACM Transactions on Embedded Computing Systems and ACM Transactions on Design Automation of Electronic Systems. He is an IEEE Fellow, a Fellow of the American Association for the Advancement of Science, and an ACM Distinguished Scientist.

Speaker: Swarup Bhunia, Semmoto Endowed Professor of IoT, Electrical and Computer Engineering, University of Florida

Abstract: With the emergence of the Internet of Things (IoT) regime that promises exciting new applications from smart cities to connected autonomous vehicles, security of edge devices has come to the forefront of the system design process. Recent discoveries and reports on numerous security attacks on microchips and circuits violate the well-regarded concept of hardware trust anchors. Current business model and the supply chain eco-system for microelectronics give rise to unprecedented security issues and accentuate the need for secure, trustworthy hardware. It has prompted system designers to develop novel security primitives, design-for-security, and test/validation solutions to achieve secure hardware for diverse IoT applications. Emerging security issues and countermeasures have also led to interesting interplay between security and verification. Verification of hardware for security and trust has become an integral part of the system design flow. The talk will cover spectrum of challenges associated with hardware security and describe emerging solutions in creating secure trustworthy hardware that can enable IoT security for the mass. It will outline the need and challenges for verification of an electronic design’s security properties and the motivation for learning-guided security design and verification. Finally, it will outline how AI-driven assurance of hardware, specifically the usage of generative AI, is creating a promising new paradigm of hardware-centric IoT security.

Biography: Dr. Swarup Bhunia is currently a preeminence professor of cybersecurity and Semmoto Endowed Professor of Internet of Things (IoT) at University of Florida. He serves as the Director of the Warren B. Nelms Institute for the Connected World. Earlier, he was appointed as the T. and A. Schroeder associate professor of Electrical Engineering and Computer Science at Case Western Reserve University. He has over twenty years of research and development experience with 10 authored/edited books and over 300 publications in peer-reviewed journals and premier conferences and 37 granted patents. His research interests include hardware security and trust, adaptive nanocomputing and novel test methodologies. Dr. Bhunia received IBM Faculty Award, National Science Foundation career development award, Semiconductor Research Corporation Inventor Recognition Award, IEEE HOST Hall of Fame award, University of Florida Research Foundation Professorship Award, SRC technical excellence award as a team member, and several best paper awards/nominations. He is co-founding editor-in-chief of a Springer journal on hardware and systems security. Dr. Bhunia received his PhD from Purdue University on energy-efficient and robust electronics. He is a Fellow of the IEEE.