Cecilia Summers

Improved Adversarial Robustness via Logit Regularization Methods

2019 · arXiv (Cornell University)

While great progress has been made at making neural networks effective across a wide range of visual tasks, most models are surprisingly vulnerable. This frailness takes the form of small, carefully chosen perturbations of their …