4 papers
Physics-Informed Diffusion Models for Vehicle Speed Trajectory Generation
Vadim Sokolov, Farnaz Behnia, Dominik Karbowski
Synthetic vehicle speed trajectory generation is essential for evaluating vehicle control algorithms and connected vehicle technologies. Traditional Markov chain approaches suffer…
Deep Generative Models for Vehicle Speed Trajectories
Farnaz Behnia, Dominik Karbowski, Vadim Sokolov
Generating realistic vehicle speed trajectories is a crucial component in evaluating vehicle fuel economy and in predictive control of self-driving cars. Traditional generative mod…
LASCA: Learning Assisted Side Channel Delay Analysis for Hardware Trojan Detection
Ashkan Vakil, Farnaz Behnia, Ali Mirzaeian +3
In this paper, we introduce a Learning Assisted Side Channel delay Analysis (LASCA) methodology for Hardware Trojan detection. Our proposed solution, unlike the prior art, does not…
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou +6
In this paper, we propose Code-Bridged Classifier (CBC), a framework for making a Convolutional Neural Network (CNNs) robust against adversarial attacks without increasing or even…