Seok-Hwan Choi

EEJE: Two-Step Input Transformation for Robust DNN Against Adversarial Examples

2020 · IEEE Transactions on Network Science and Engineering

Adversarial examples are human-imperceptible perturbations to inputs to machine learning models. While attacking machine learning models, adversarial examples cause the model to make a false positive or a false negative. So far, two representative defense …