14 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 14 cited
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability
Dipkamal Bhusal, Rosalyn Shin, Ajay Ashok Shewale +4
Interpretability, trustworthiness, and usability are key considerations in high-stake security applications, especially when utilizing deep learning models. While these models are…
cs.CR2022★ 4 cited
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles
Nidhi Rastogi, Sara Rampazzi, Michael Clifford +3
Connected autonomous vehicles (CAVs) are anticipated to have built-in AI systems for defending against cyberattacks. Machine learning (ML) models form the basis of many such AI sys…