Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries

Alexander Cann, Ian Colbert, Ihab Amer

The widespread adoption of deep neural networks in computer vision applications has brought forth a significant interest in adversarial robustness. Existing research has shown that…