Adversarial Attack Based on Perturbation of Contour Region to Evade Steganalysis-Based Detection. - Hyunsik Na; Gwonsang Ryu; Daeseon Choi (IEEE Access, 2021)

Extracting a Minimal Trigger for an Efficient Backdoor Poisoning Attack Using the Activation Values of a Deep Neural Network. - Hyunsik Na; Daeseon Choi (WDC@AsiaCCS, 2022)

Systematic Evaluation of Robustness Against Model Inversion Attacks on Split Learning. - Hyunsik Na; Yoonju Oh; Wonho Lee; Daeseon Choi (WISA, 2023)

Performance Comparison and Visualization of AI-Generated-Image Detection Methods. - Daeeol Park; Hyunsik Na; Daeseon Choi (IEEE Access, 2024)

Verifiable Facial De-Identification in Video Surveillance. - Sungjune Park; Hyunsik Na; Daeseon Choi (IEEE Access, 2024)

TrapMI: A Data Protection Method to Resist Model Inversion Attacks in Split Learning. - Hyunsik Na; Daeseon Choi (IEEE Access, 2025)

Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores. - Hyunsik Na; Wonho Lee; Seungdeok Roh; Sohee Park; Daeseon Choi (CoRR, 2025)

IPG: Incremental Patch Generation for Generalized Adversarial Patch Training. - Wonho Lee; Hyunsik Na; Jisu Lee; Daeseon Choi (CoRR, 2025)