New Grant Using Adversarial Machine Learning to Improve Autonomous Vehicle Safety
VEMI is pleased to announce their partnership with Dr. Salimeh Sekeh on a new project for “Improving Adversarial Attack Detection Toward Robustness of Deep Neural Networks”. Our research will focus on algorithm implementation for student’s advancing autonomous human-vehicle interaction, allowing for many real-world safety applications. This will also allow our researchers to gain experience in AI Robustness, Deep Network Compression, and Adversarial Machine Learning and its connection to autonomous vehicle simulation. All this possible through the University of Maine’s AI Initiative Seed Grant.