Talk, CODES+ISSS: International Conference on Hardware/Software Codesign and System Synthesis,
LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms, is a novel deep learning based anomaly detection framework that is designed to detect cyber-attacks in vehicles. This work got accepted in CODES+ISSS conference at Embedded Systems Week 2021 and published in IEEE TECS journal.
Talk, CASES: International Conference on Compilers, Architectures, and Synthesis for Embedded Systems,
INDRA (Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems) is a novel deep learning based intrusion detection framework that is designed to detect cyber-attacks in vehicles. This work got accepted in CASES conference at Embedded Systems Week 2020 and published in IEEE TCAD journal.
Talk, Design Automation Conference,
This is my PhD forum presentation at IEEE/ACM Design Automation Conference (DAC), 2020. In this talk I give a high level overview of my Ph.D. research.