Adaptive Regularization for Adversarial Training. - Dongyoon Yang; Insung Kong; Yongdai Kim (CoRR, 2022)

Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. - Dongyoon Yang; Insung Kong; Yongdai Kim (ICCV, 2023)

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. - Insung Kong; Dongyoon Yang; Jongjin Lee; Ilsang Ohn; Gyuseung Baek; Yongdai Kim (ICML, 2023)

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples. - Dongyoon Yang; Insung Kong; Yongdai Kim (ICML, 2023)

Improving Performance of Semi-Supervised Learning by Adversarial Attacks. - Dongyoon Yang; Kunwoong Kim; Yongdai Kim (CoRR, 2023)

TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification. - Dongyoon Yang; Jihu Lee; Yongdai Kim (CVPR, 2025)