Three papers were accepted at the IEEE Consumer Communications & Networking Conference (CCNC 2026): "Impact of Query and Non-Query Black-Box Evasion Attacks on UAV Intrusion Detection Systems", "Transferrable Graphon-Based Detection of Adversarial Samples in Power Grid Networks", and "A Graph-Based Optimization Approach for Resilient EV Rerouting in Disrupted Charging Networks".
Two papers were accepted at the 33rd European Signal Processing Conference (EUSIPCO 2025): "Graph Transfer Learning-Based Attack Detection in Cyber-Physical Water Distribution Systems" and "Multi-Task Graph-Based Attack Detection and Localization in Cyber-Physical Power Systems".
"Ensemble Learning-Based Intrusion Detection System for Aerial Base Stations Against Adversarial Evasion Attacks," got accepted at the 60th IEEE International Conference on Communications (ICC 2025), which will be held Jun 8–12 in Montreal, Canada.
"Securing EVCS Infrastructure Against Cyberattacks with a Deep Learning-Based Detection Model," got accepted at the 10th International Conference on Fog and Mobile Edge Computing (FMEC 2025), which will be held May 19–22 in Tampa, FL, USA.
UROP interns Layhan Mishra and Alyssa Traina presented their research, titled 'Using Machine Learning to Recognize Attacks on Power Grids,' and 'Detecting Malicious Attacks in Smart Power Grids: A Machine Learning Approach,' at the UROP symposium hosted by Florida State University.
Our paper “Transfer learning-driven electricity theft detection in small sample cases” has been published in IEEE Transactions on Instrumentation and Measurement on October 8, 2024.