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.
9.9.2020 MIDAS Faculty Research Pitch Video.
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)