[DATE 2024]: Accepted Paper: IoT-GRAF: IoT Graph Learning-based Anomaly and Intrusion Detection through Multi-modal Data Fusion

Our paper “IoT-GRAF: IoT Graph Learning-based Anomaly and Intrusion Detection through Multi-modal Data Fusion” has been accepted to the IEEE/ACM Design Automation and Test in Europe (DATE’24), 2024. Congratulations, Rozhin and Yasamin.

← [WACV 2024] Accepted Paper: RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding
[IEEE IoT Journal] Accepted Paper: ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System →