Computer Science, Cyber Security, Information Systems, Networks, Sensors and Sensor Networks Methodologies:
Classification, Data Security and Privacy, Deep Learning, Optimization Relevant Projects:
Data Science Undergraduate Program Advisor and PC member
EECS, College of Engineering
My research interests include security, privacy, and adversarial machine learning.
More information about some of the current projects can be found at https://iotsecurity.engin.umich.edu.
An adversarial testing pipeline to fool machine learning classifiers. A STOP sign is being modified using stickers so that a state-of-the-art classifier is fooled into thinking it is a 45 SPEED LIMIT sign. For more details, visit https://iotsecurity.engin.umich.edu (Robust Physical Perturbations tab)