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.
Sponsored by DARPA’s Medifor program, DiSPARITY develops deep learning algorithms for identifying digital, physical, and semantic image and video manipulations. Image manipulations include image splicing, copy-move, and image repurposing. DiSPARITY also develops robust, subject-agnostic machine learning methods and systems for deepfake detection.
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