Seminar: No One Machine Learning Model to Rule Them All

_Abstract

With the rapid rise of deep learning and generative AI, there is a strong push to deploy increasingly complex machine learning models for critical tasks in cybersecurity and tactical edge domains. However, in resource-constrained environments, where both data and compute are limited, traditional one-ML-model-fits-all approaches fall short for detecting cyber attacks. In this talk, we argue for a dynamic, adaptive framework in which multiple models are trained, selectively deployed based on available resources, and continuously updated to withstand adversarial attacks and respond to rapidly changing environments. We will present our current work toward realizing this vision  and highlight how such an approach can enable resilient, efficient, and mission-ready AI at the edge for protecting against cyberattacks.

_Biography

Murat Kantarcioglu is a Professor and CCI Faculty Fellow at the Virginia Tech Department of Computer Science. He earned his PhD in Computer Science from Purdue University in 2005, where he was awarded the Purdue CERIAS Diamond Award for Academic Excellence. He also holds affiliations as a Faculty Associate at Harvard’s Data Privacy Lab and as a Visiting Scholar at UC Berkeley’s RISE Labs. Dr. Kantarcioglu’s research centers on integrating cybersecurity, data science, and blockchain technologies to develop secure and efficient data processing and sharing mechanisms.

His research has been supported by numerous grants from agencies such as NSF, AFOSR, ARO, ONR, NSA, and NIH. Dr. Kantarcioglu has authored over 180 peer-reviewed papers in top-tier venues including NDSS, CCS, USENIX Security, KDD, SIGMOD, ICDM, ICDE, PVLDB, and several IEEE/ACM Transactions. He has also served as Program Co-Chair for prestigious conferences such as IEEE ICDE, ACM SACMAT, IEEE Cloud, IEEE CNS, and ACM CODASPY. His research has been featured by media outlets such as the Boston Globe, ABC News, PBS/KERA, and DFW Television, and he has received multiple best paper awards.

Dr. Kantarcioglu is the recipient of several awards, including the NSF CAREER Award, the AMIA 2014 Homer R. Warner Award, and the IEEE ISI 2017 Technical Achievement Award, jointly presented by the IEEE SMC and IEEE ITS societies, for his contributions to data security and privacy. He is also a Fellow of both the AAAS and IEEE.