Yong Man Ro

Probenet: Probing Deep Networks

2019

Despite the rapid progress of deep learning research in recent years, interpreting deep network is still quite challenging. Interpreting deep networks is essential to both end-users and developers since it gives confidence in the usage …

Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack

2020 · arXiv (Cornell University)

Deep neural networks have achieved substantial achievements in several computer vision areas, but have vulnerabilities that are often fooled by adversarial examples that are not recognized by humans. This is an important issue for security …