Sponsored by IARPA’s BRIAR program, GRAIL develops systems and algorithms for face and whole-body authentication at altitude and range using long-range visible imagery under challenging imaging conditions.

Sponsored by DARPA’s GARD program, LR2 develops deep learning models that are robust to adversarial attacks. Our work covers models for numerous tasks spanning different modalities, such as image classification, object detection, action recognition, object tracking, speaker identification, and automatic speech recognition.

Sponsored by DARPA’s LwLL program, CORAL develops machine learning algorithms that require significantly smaller amounts of labeled training data for computer vision tasks, such as image classification, object detection, and semantic image segmentation; and natural language processing tasks such as machine translation and named entity recognition.

Congenital adrenal hyperplasia (CAH) is a genetic disorder with serious life-long health implications. Face2CAH considers using the face as a phenotypic biomarker that can be easily used by physicians to adjust medications for CAH patients to improve their quality of life.