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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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publications
Efficient homomorphic encryption framework for privacy-preserving regression
Published in Applied Intelligence, 2023
Recommended citation: Byun, Junyoung, Park, Saerom, Choi, Yujin, Lee, Jaewook. (2023). "Efficient homomorphic encryption framework for privacy-preserving regression." Applied Intelligence.
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Exploring diverse feature extractions for adversarial audio detection
Published in IEEE Access, 2023
Recommended citation: Choi, Yujin, Park, Jinseong, Lee, Jaewook, Kim, Hoki. (2023). "Exploring diverse feature extractions for adversarial audio detection." IEEE Access.
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Exploring the effect of multi-step ascent in sharpness-aware minimization
Published in arXiv preprint arXiv:2302.10181, 2023
Recommended citation: Kim, Hoki, Park, Jinseong, Choi, Yujin, Lee, Woojin, Lee, Jaewook. (2023). "Exploring the effect of multi-step ascent in sharpness-aware minimization." arXiv preprint arXiv:2302.10181.
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Fantastic robustness measures: The secrets of robust generalization
Published in Advances in Neural Information Processing Systems, 2023
Recommended citation: Kim, Hoki, Park, Jinseong, Choi, Yujin, Lee, Jaewook. (2023). "Fantastic robustness measures: The secrets of robust generalization." Advances in Neural Information Processing Systems.
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Stability analysis of sharpness-aware minimization
Published in arXiv preprint arXiv:2301.06308, 2023
Recommended citation: Kim, Hoki, Park, Jinseong, Choi, Yujin, Lee, Jaewook. (2023). "Stability analysis of sharpness-aware minimization." arXiv preprint arXiv:2301.06308.
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Differentially private sharpness-aware training
Published in International Conference on Machine Learning, 2023
Recommended citation: Park, Jinseong, Kim, Hoki, Choi, Yujin, Lee, Jaewook. (2023). "Differentially private sharpness-aware training." International Conference on Machine Learning.
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Efficient differentially private kernel support vector classifier for multi-class classification
Published in Information Sciences, 2023
Recommended citation: Park, Jinseong, Choi, Yujin, Byun, Junyoung, Lee, Jaewook, Park, Saerom. (2023). "Efficient differentially private kernel support vector classifier for multi-class classification." Information Sciences.
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Fast sharpness-aware training for periodic time series classification and forecasting
Published in Applied Soft Computing, 2023
Recommended citation: Park, Jinseong, Kim, Hoki, Choi, Yujin, Lee, Woojin, Lee, Jaewook. (2023). "Fast sharpness-aware training for periodic time series classification and forecasting." Applied Soft Computing.
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Privacy-preserving inference resistant to model extraction attacks
Published in Expert Systems with Applications, 2024
Recommended citation: Byun, Junyoung, Choi, Yujin, Lee, Jaewook, Park, Saerom. (2024). "Privacy-preserving inference resistant to model extraction attacks." Expert Systems with Applications.
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Fair Sampling in Diffusion Models through Switching Mechanism
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Recommended citation: Choi, Yujin†, Park, Jinseong†, Kim, Hoki, Lee, Jaewook, Park, Saerom. (2024). "Fair Sampling in Diffusion Models through Switching Mechanism." Proceedings of the AAAI Conference on Artificial Intelligence.
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Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training
Published in arXiv preprint arXiv:2412.09842, 2024
Recommended citation: Choi, Yujin, Park, Jinseong, Byun, Junyoung, Lee, Jaewook. (2024). "Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training." arXiv preprint arXiv:2412.09842.
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Bayesnam: Leveraging inconsistency for reliable explanations
Published in arXiv preprint arXiv:2411.06367, 2024
Recommended citation: Kim, Hoki, Park, Jinseong, Choi, Yujin, Lee, Seungyun, Lee, Jaewook. (2024). "Bayesnam: Leveraging inconsistency for reliable explanations." arXiv preprint arXiv:2411.06367.
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In-distribution public data synthesis with diffusion models for differentially private image classification
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Recommended citation: Park, Jinseong†, Choi, Yujin†, Lee, Jaewook. (2024). "In-distribution public data synthesis with diffusion models for differentially private image classification." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
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Improving the utility of differentially private clustering through dynamical processing
Published in Pattern Recognition, 2025
Recommended citation: Byun, Junyoung, Choi, Yujin, Lee, Jaewook. (2025). "Improving the utility of differentially private clustering through dynamical processing." Pattern Recognition.
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Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
Published in EMNLP Findings 2025, 2025
Recommended citation: Choi, Yujin†, Park, Youngjoo†, Byun, Junyoung, Lee, Jaewook, Park, Jinseong. (2025). "Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?." EMNLP Findings 2025.
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Temporal consistency ensemble empirical mode decomposition for forecasting practical metal price
Published in Engineering Applications of Artificial Intelligence, 2025
Recommended citation: Choi, Yujin, Kim, Dongbin, Lee, Jaewook. (2025). "Temporal consistency ensemble empirical mode decomposition for forecasting practical metal price." Engineering Applications of Artificial Intelligence.
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Multi-Class Support Vector Machine with Differential Privacy
Published in NeurIPS 2025, 2025
Recommended citation: Park, Jinseong, Choi, Yujin, Lee, Jaewook. (2025). "Multi-Class Support Vector Machine with Differential Privacy." NeurIPS 2025.
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Differentially Private Upsampling for Enhanced Anomaly Detection in Imbalanced Data
Published in Engineering Applications of Artificial Intelligence, 2026
Recommended citation: Choi, Yujin, Park, Jinseong, Park, Youngjoo, Lee, Jaewook, Byun, Junyoung. (2026). "Differentially Private Upsampling for Enhanced Anomaly Detection in Imbalanced Data." Engineering Applications of Artificial Intelligence.
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Leveraging priors via diffusion bridge for time series generation
Published in KDD 2026, 2026
Recommended citation: Park, Jinseong†, Lee, Seungyun†, Jeong, Woojin, Choi, Yujin, Lee, Jaewook. (2026). "Leveraging priors via diffusion bridge for time series generation." KDD 2026.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Financial Programming 2
Undergraduate course, Soongsil University, School of Finance, 2024
Financial Machine Learning
Undergraduate course, Soongsil University, School of Finance, 2025