BitNet: Learning-Based Bit-Depth Expansion. - Junyoung Byun; Kyujin Shim; Changick Kim (ACCV (2), 2018)

Security-preserving Support Vector Machine with Fully Homomorphic Encryption. - Saerom Park; Jaewook Lee 001; Jung Hee Cheon; Juhee Lee; Jaeyun Kim; Junyoung Byun (SafeAI@AAAI, 2019)

Multi-Step Quantization Of A Multi-Scale Network For Crowd Counting. - Kyujin Shim; Junyoung Byun; Changick Kim (ICIP, 2020)

HE-Friendly Algorithm for Privacy-Preserving SVM Training. - Saerom Park; Junyoung Byun; Joohee Lee; Jung Hee Cheon; Jaewook Lee 001 (IEEE Access, 2020)

Rethinking Training Schedules For Verifiably Robust Networks. - Hyojun Go; Junyoung Byun; Changick Kim (ICIP, 2021)

Fine-Grained Multi-Class Object Counting. - Hyojun Go; Junyoung Byun; Byeongjun Park; Myung-Ae Choi; Seunghwa Yoo; Changick Kim (ICIP, 2021)

Understanding Vqa For Negative Answers Through Visual And Linguistic Inference. - Seungjun Jung; Junyoung Byun; Kyujin Shim; Sanghyun Hwang; Changick Kim (ICIP, 2021)

Parameter-free HE-friendly Logistic Regression. - Junyoung Byun; Woojin Lee; Jaewook Lee 001 (NeurIPS, 2021)

Small Input Noise is Enough to Defend Against Query-based Black-box Attacks. - Junyoung Byun; Hyojun Go; Changick Kim (CoRR, 2021)

Fair Clustering with Fair Correspondence Distribution. - Woojin Lee; Hyungjin Ko; Junyoung Byun; Taeho Yoon; Jaewook Lee 001 (Inf. Sci., 2021)

Atomic cross-chain settlement model for central banks digital currency. - Yunyoung Lee; Bumho Son; Huisu Jang; Junyoung Byun; Taeho Yoon; Jaewook Lee 001 (Inf. Sci., 2021)

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. - Junyoung Byun; Seungju Cho; Myung-Joon Kwon; Hee-Seon Kim; Changick Kim (CVPR, 2022)

Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. - Junyoung Byun; Hyojun Go; Seungju Cho; Changick Kim (ICIP, 2022)

Hidden Conditional Adversarial Attacks. - Junyoung Byun; Kyujin Shim; Hyojun Go; Changick Kim (ICIP, 2022)

Adversarial Training with Channel Attention Regularization. - Seungju Cho; Junyoung Byun; Myung-Joon Kwon; Yoonji Kim; Changick Kim (ICIP, 2022)

Adaptive Warping Network for Transferable Adversarial Attacks. - Minji Son; Myung-Joon Kwon; Hee-Seon Kim; Junyoung Byun; Seungju Cho; Changick Kim (ICIP, 2022)

Geometrically Adaptive Dictionary Attack on Face Recognition. - Junyoung Byun; Hyojun Go; Changick Kim (WACV, 2022)

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. - Junyoung Byun; Hyojun Go; Changick Kim (WACV, 2022)

Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption. - Saerom Park; Junyoung Byun; Joohee Lee (WWW, 2022)

Robust Federated Learning With Noisy Labels. - Seunghan Yang; Hyoungseob Park; Junyoung Byun; Changick Kim (IEEE Intell. Syst., 2022)

Variational cycle-consistent imputation adversarial networks for general missing patterns. - Woojin Lee; Sungyoon Lee; Junyoung Byun; Hoki Kim; Jaewook Lee 001 (Pattern Recognit., 2022)

Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup. - Junyoung Byun; Myung-Joon Kwon; Seungju Cho; Yoonji Kim; Changick Kim (CVPR, 2023)

Improving Adversarial Transferability Via Feature Translation. - Yoonji Kim; Seungju Cho; Junyoung Byun; Myung-Joon Kwon; Changick Kim (ICIP, 2023)

Fast and Differentially Private Fair Clustering. - Junyoung Byun; Jaewook Lee 001 (IJCAI, 2023)

Efficient differentially private kernel support vector classifier for multi-class classification. - Jinseong Park 001; Yujin Choi; Junyoung Byun; Jaewook Lee 001; Saerom Park (Inf. Sci., 2023)

Efficient homomorphic encryption framework for privacy-preserving regression. - Junyoung Byun; Saerom Park; Yujin Choi; Jaewook Lee 001 (Appl. Intell., 2023)

Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training. - Yujin Choi; Jinseong Park 001; Junyoung Byun; Jaewook Lee 001 (CoRR, 2024)

Privacy-preserving inference resistant to model extraction attacks. - Junyoung Byun; Yujin Choi; Jaewook Lee 001; Saerom Park (Expert Syst. Appl., 2024)

Enhancing Robustness of Multi-Object Trackers With Temporal Feature Mix. - Kyujin Shim; Junyoung Byun; Kangwook Ko; Jubi Hwang; Changick Kim (IEEE Trans. Circuits Syst. Video Technol., 2024)

Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach. - Junyoung Byun; Jaewook Lee 001; Hyeongyeong Lee; Bumho Son (IEEE Access, 2025)

Improving the utility of differentially private clustering through dynamical processing. - Junyoung Byun; Yujin Choi; Jaewook Lee 001 (Pattern Recognit., 2025)

Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? - Yujin Choi; Youngjoo Park; Junyoung Byun; Jaewook Lee 001; Jinseong Park 001 (CoRR, 2025)

Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems. - Hoki Kim; Youngdoo Son; Junyoung Byun (Int. J. Inf. Sec., 2025)

Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio. - Hyungjin Ko; Jaewook Lee 001; Junyoung Byun (Future Gener. Comput. Syst., 2026)