Zhenyu Zhong's current research focuses on adversarial machine learning, particularly deep learning. He explores physical attack tactics against autonomous perception models, as well as defensive approaches to harden the deep learning model. Previously, Dr. Zhong worked for Microsoft and McAfee, mainly applying large scale machine learning solutions to security problems such as malware classification, intrusion detection, malicious URL detection, spam filtering, etc..
