Deep Learning Architectures for Robust Classification under Adversarial Noise
Abstract
The objective of this DARPA study is to develop deep neural network (DNN) architectures that can classify images with a provably robust accuracy despite adversarial noise.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 29, 2019
- Source ID
- FA86501817811
Entities
People
- Yaron Singer
Organizations
- Air Force Research Laboratory
- Defense Advanced Research Projects Agency
- Harvard College