Title: Improving Resilience and Trust in AI Driven Cyber Physical Systems
Abstract: In today's interconnected digital era, Cyber-Physical Systems (CPS) have emerged as the backbone of critical infrastructures, encompassing a wide range of applications from smart grids to autonomous vehicles. With the advent of Artificial Intelligence (AI) technologies, these systems have witnessed unprecedented advancements, leading to improved efficiency, adaptability, and automation. However, the integration of AI introduces new challenges related to system resilience and trustworthiness, as these systems become susceptible to a new breed of threats and vulnerabilities.
In this talk, he will present some of the work he's doing in his group to ensure the reliability of ML systems in the presence of adversarial attacks, primarily patch attacks in computer vision. The focus of our work has been to introduce novel strategies for practical attacks on AI driven computer vision systems and subsequently developing defences against such vulnerabilities by characterizing properties of patches. In the second part of his talk, he will showcase some recent work in the domain of digital twins where he and his group have developed novel strategies to develop robust AI systems in data scarce situations using transfer learning and active transfer learning.
Speaker Bio: Dr. Narayan is an Assistant Professor in the Department of Computer Science and Electrical & Computer Engineering, University of Western Ontario (Western). Dr. Narayan is an Early Career Researcher who has made significant contributions in the domains of machine learning, data science, software engineering, and explainable AI. Dr. Narayan leads the Intelligent Data Science Lab (IDSL) at Western that spans trainees across the University of British Columbia and the University of Waterloo where he also holds an affiliate and adjunct appointments respectively.
Dr. Narayan has experience in data science, machine learning, decision-making under uncertainty, and robust & explainable AI systems. Dr. Narayan's work has been published in top-tier journals and computer science conferences with applications in various domains such as Industry 4.0, safety-security of Cyber-Physical Systems, Trustworthy AI, chemoinformatics and bioinformatics.
Dr. Narayan is on the program committee for various top-tier machine conferences such as ECML, AAAI, IJCAI, QRS, ASE, FSE, PKDD, KDD, EMSOFT, IEEE-SMC, IEEE-IJCNN and others. Dr. Narayan’s work has received best paper awards and nominations for best paper awards at numerous of these venues. His research is funded by NSERC, NFRF, MITACS, NSF, and awards from Amazon, Microsoft and Meta. He has also been awarded the Young Systems Scientist Award by the Systems Society of India.
Date: Tuesday, December 5th
Time: 1:00 - 2:00 PM
This seminar will be hybrid.