Junyoung Byun - RankMe

42 papers A* 5A 2B 9Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing financial privacy: A novel integrative approach for privacy-preserving optimal portfolio. Future Gener. Comput. Syst. Hyungjin Ko, Jaewook Lee, Junyoung Byun
2026	J	`jnl`	Differentially private upsampling for enhanced anomaly detection in imbalanced data. Eng. Appl. Artif. Intell. Yujin Choi, Jinseong Park, Youngjoo Park, Jaewook Lee, Junyoung Byun
2025	J	`jnl`	Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach. IEEE Access Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son
2025	J	`jnl`	Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems. Int. J. Inf. Sec. Hoki Kim, Youngdoo Son, Junyoung Byun
2025	J	`jnl`	Improving the utility of differentially private clustering through dynamical processing. Pattern Recognit. Junyoung Byun, Yujin Choi, Jaewook Lee
2025	—	`conf`	Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? EMNLP (Findings) Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park
2025	J	`jnl`	Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? CoRR Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park
2024	J	`jnl`	Enhancing Robustness of Multi-Object Trackers With Temporal Feature Mix. IEEE Trans. Circuits Syst. Video Technol. Kyujin Shim, Junyoung Byun, Kangwook Ko, Jubi Hwang, Changick Kim
2024	J	`jnl`	Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training. CoRR Yujin Choi, Jinseong Park, Junyoung Byun, Jaewook Lee
2024	J	`jnl`	Privacy-preserving inference resistant to model extraction attacks. Expert Syst. Appl. Junyoung Byun, Yujin Choi, Jaewook Lee, Saerom Park
2023	J	`jnl`	Efficient differentially private kernel support vector classifier for multi-class classification. Inf. Sci. Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park
2023	J	`jnl`	Efficient homomorphic encryption framework for privacy-preserving regression. Appl. Intell. Junyoung Byun, Saerom Park, Yujin Choi, Jaewook Lee
2023	A*	`conf`	Fast and Differentially Private Fair Clustering. IJCAI Junyoung Byun, Jaewook Lee
2023	B	`conf`	Improving Adversarial Transferability Via Feature Translation. ICIP Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim
2023	J	`jnl`	Improving the Utility of Differentially Private Clustering through Dynamical Processing. CoRR Junyoung Byun, Yujin Choi, Jaewook Lee
2023	A*	`conf`	Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup. CVPR Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim
2023	J	`jnl`	Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup. CoRR Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim
2022	B	`conf`	Adaptive Warping Network for Transferable Adversarial Attacks. ICIP Minji Son, Myung-Joon Kwon, Hee-Seon Kim, Junyoung Byun, Seungju Cho, Changick Kim
2022	B	`conf`	Adversarial Training with Channel Attention Regularization. ICIP Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim
2022	B	`conf`	Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. ICIP Junyoung Byun, Hyojun Go, Seungju Cho, Changick Kim
2022	A	`conf`	Geometrically Adaptive Dictionary Attack on Face Recognition. WACV Junyoung Byun, Hyojun Go, Changick Kim
2022	B	`conf`	Hidden Conditional Adversarial Attacks. ICIP Junyoung Byun, Kyujin Shim, Hyojun Go, Changick Kim
2022	A*	`conf`	Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CVPR Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Hee-Seon Kim, Changick Kim
2022	J	`jnl`	Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CoRR Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Hee-Seon Kim, Changick Kim
2022	A	`conf`	On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. WACV Junyoung Byun, Hyojun Go, Changick Kim
2022	A*	`conf`	Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption. WWW Saerom Park, Junyoung Byun, Joohee Lee
2022	J	`jnl`	Robust Federated Learning With Noisy Labels. IEEE Intell. Syst. Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
2022	J	`jnl`	Variational cycle-consistent imputation adversarial networks for general missing patterns. Pattern Recognit. Woojin Lee, Sungyoon Lee, Junyoung Byun, Hoki Kim, Jaewook Lee
2021	J	`jnl`	Atomic cross-chain settlement model for central banks digital currency. Inf. Sci. Yunyoung Lee, Bumho Son, Huisu Jang, Junyoung Byun, Taeho Yoon, Jaewook Lee
2021	J	`jnl`	Fair Clustering with Fair Correspondence Distribution. Inf. Sci. Woojin Lee, Hyungjin Ko, Junyoung Byun, Taeho Yoon, Jaewook Lee
2021	B	`conf`	Fine-Grained Multi-Class Object Counting. ICIP Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim
2021	J	`jnl`	Geometrically Adaptive Dictionary Attack on Face Recognition. CoRR Junyoung Byun, Hyojun Go, Changick Kim
2021	A*	`conf`	Parameter-free HE-friendly Logistic Regression. NeurIPS Junyoung Byun, Woojin Lee, Jaewook Lee
2021	B	`conf`	Rethinking Training Schedules For Verifiably Robust Networks. ICIP Hyojun Go, Junyoung Byun, Changick Kim
2021	J	`jnl`	Small Input Noise is Enough to Defend Against Query-based Black-box Attacks. CoRR Junyoung Byun, Hyojun Go, Changick Kim
2021	B	`conf`	Understanding Vqa For Negative Answers Through Visual And Linguistic Inference. ICIP Seungjun Jung, Junyoung Byun, Kyujin Shim, Sanghyun Hwang, Changick Kim
2020	J	`jnl`	HE-Friendly Algorithm for Privacy-Preserving SVM Training. IEEE Access Saerom Park, Junyoung Byun, Joohee Lee, Jung Hee Cheon, Jaewook Lee
2020	B	`conf`	Multi-Step Quantization Of A Multi-Scale Network For Crowd Counting. ICIP Kyujin Shim, Junyoung Byun, Changick Kim
2020	J	`jnl`	Robust Federated Learning with Noisy Labels. CoRR Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim
2019	J	`jnl`	BitNet: Learning-Based Bit-Depth Expansion. CoRR Junyoung Byun, Kyujin Shim, Changick Kim
2019	—	`conf`	Security-preserving Support Vector Machine with Fully Homomorphic Encryption. SafeAI@AAAI Saerom Park, Jaewook Lee, Jung Hee Cheon, Juhee Lee, Jaeyun Kim, Junyoung Byun
2018	—	`conf`	BitNet: Learning-Based Bit-Depth Expansion. ACCV (2) Junyoung Byun, Kyujin Shim, Changick Kim