Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples

no code implementations • 17 Nov 2018 • Jacob M. Springer, Charles S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon

Although deep learning has shown great success in recent years, researchers have discovered a critical flaw where small, imperceptible changes in the input to the system can drastically change the output classification.

General Classification