Yoon-Ho 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 …

CGGNet: Compiler-Guided Generation Network for Smart Contract Data Augmentation

2024 · IEEE Access

The emergence of blockchain and smart contracts has revolutionized various industries by enabling automated code execution. However, the development of smart contracts, rooted in programming languages, inherits common challenges in traditional software development, notably concerning …