Towards Deep Learning Models Resistant to Adversarial Attacks
Can you fool AI with adversarial examples on a visual Turing test?
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
SGX-Shield: Enabling Address Space Layout Randomization for SGX Programs
Robustness May Be at Odds with Accuracy