Put AI to Work
April 15-18, 2019
New York, NY
Neil Fendley

Neil Fendley
Computer Vision Researcher, JHU/APL

Neil Fendley is a computer vision researcher at JHU/APL, where he works on machine perception and reasoning, focusing on deep learning. Over the last two years, Neil has worked on automated retinal disease diagnosis and satellite imagery classification through JHU/APL’s support of IARPA’s functional Map of the World effort. Recently, Neil has focused on adversarial machine learning and hosted a JHU/APL internal challenge to design and defend against adversarial perturbations.


2:40pm3:20pm Thursday, April 18, 2019
Implementing AI
Location: Trianon Ballroom
Secondary topics:  Computer Vision, Data and Data Networks, Ethics, Privacy, and Security, Reliability and Safety
Ryan Mukherjee (JHU/APL), Neil Fendley (JHU/APL)
Average rating: *****
(5.00, 1 rating)
While deep learning has led to many advancements in computer vision, most research has focused on ground-based imagery. Ryan Mukherjee and Neil Fendley offer an overview of functional Map of the World (fMoW), an ImageNet for satellite imagery built to address this issue, and explain how you can attack or defend these deep learning models. Read more.