On the Repeatability of EEG-Based Image Quality Assessment. - Jaehui Hwang; Seong-Eun Moon; Jong-Seok Lee (SMC, 2018)

Universal Kriging for Loran ASF Map Generation. - Pyo-Woong Son; Joon Hyo Rhee; Jaehui Hwang; Jiwon Seo 001 (IEEE Trans. Aerosp. Electron. Syst., 2019)

Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition. - Jaehui Hwang; Jun-Hyuk Kim; Jun-Ho Choi; Jong-Seok Lee (CoRR, 2020)

Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack. - Jaehui Hwang; Jun-Hyuk Kim; Jun-Ho Choi; Jong-Seok Lee (ICCV, 2021)

Classifying Gas Data Measured Under Multiple Conditions Using Deep Learning. - Hojung Lee; Jaehui Hwang; Hwin Dol Park; Jaehun Choi; Jong-Seok Lee (IEEE Access, 2022)

Similarity of Neural Architectures Based on Input Gradient Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (CoRR, 2022)

Anomaly Score: Evaluating Generative Models and Individual Generated Images Based on Complexity and Vulnerability. - Jaehui Hwang; Junghyuk Lee; Jong-Seok Lee (CVPR, 2024)

Similarity of Neural Architectures Using Adversarial Attack Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (ECCV (68), 2024)

Temporal shuffling for defending deep action recognition models against adversarial attacks. - Jaehui Hwang; Huan Zhang 001; Jun-Ho Choi; Cho-Jui Hsieh; Jong-Seok Lee (Neural Networks, 2024)

CROPS: Model-Agnostic Training-Free Framework for Safe Image Synthesis with Latent Diffusion Models. - Junha Park; Ian Ryu; Jaehui Hwang; Hyungkeun Park; Jiyoon Kim; Jong-Seok Lee (CoRR, 2025)