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 鈥淚mproving Adversarial Attack Detection Toward Robustness of Deep Neural Networks鈥. Our research will focus on algorithm implementation for student鈥檚 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 海角社区鈥檚 AI Initiative Seed Grant.