Training CNNs with Selective Allocation of Channels. - Jongheon Jeong; Jinwoo Shin (ICML, 2019)

M2m: Imbalanced Classification via Major-to-Minor Translation. - Jaehyung Kim 001; Jongheon Jeong; Jinwoo Shin (CVPR, 2020)

Consistency Regularization for Certified Robustness of Smoothed Classifiers. - Jongheon Jeong; Jinwoo Shin (NeurIPS, 2020)

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. - Jihoon Tack; Sangwoo Mo; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2020)

Analyzing Spatial Differences in the TLS Security of Delegated Web Services. - Joonhee Lee; Hyunwoo Lee 001; Jongheon Jeong; Doowon Kim; Ted Taekyoung Kwon (AsiaCCS, 2021)

Training GANs with Stronger Augmentations via Contrastive Discriminator. - Jongheon Jeong; Jinwoo Shin (ICLR, 2021)

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. - Jongheon Jeong; Sejun Park; Minkyu Kim 004; Heung-Chang Lee; Do-Guk Kim; Jinwoo Shin (NeurIPS, 2021)

Consistency Regularization for Adversarial Robustness. - Jihoon Tack; Sihyun Yu; Jongheon Jeong; Minseon Kim; Sung Ju Hwang; Jinwoo Shin (AAAI, 2022)

OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. - Jongjin Park; Sukmin Yun; Jongheon Jeong; Jinwoo Shin (ECCV Workshops (2), 2022)

SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. - Yang Zou; Jongheon Jeong; Latha Pemula; Dongqing Zhang; Onkar Dabeer (ECCV (30), 2022)

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. - Taesik Gong; Jongheon Jeong; Taewon Kim; Yewon Kim; Jinwoo Shin; Sung-Ju Lee (NeurIPS, 2022)

Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. - Taesik Gong; Jongheon Jeong; Taewon Kim; Yewon Kim; Jinwoo Shin; Sung-Ju Lee (CoRR, 2022)

Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. - Jongheon Jeong; Seojin Kim; Jinwoo Shin (AAAI, 2023)

Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. - Jongheon Jeong; Sihyun Yu; Hankook Lee; Jinwoo Shin (CVPR, 2023)

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. - Jongheon Jeong; Yang Zou; Taewan Kim; Dongqing Zhang; Avinash Ravichandran; Onkar Dabeer (CVPR, 2023)

Guiding Energy-based Models via Contrastive Latent Variables. - Hankook Lee; Jongheon Jeong; Sejun Park; Jinwoo Shin (ICLR, 2023)

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. - Huiwon Jang; Jihoon Tack; Daewon Choi; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2023)

Multi-scale Diffusion Denoised Smoothing. - Jongheon Jeong; Jinwoo Shin (NeurIPS, 2023)

Collaborative Score Distillation for Consistent Visual Editing. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (NeurIPS, 2023)

Collaborative Score Distillation for Consistent Visual Synthesis. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (CoRR, 2023)

Adversarial Robustification via Text-to-Image Diffusion Models. - Daewon Choi; Jongheon Jeong; Huiwon Jang; Jinwoo Shin (ECCV (81), 2024)

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. - Kyuyoung Kim; Jongheon Jeong; Minyong An; Mohammad Ghavamzadeh; Krishnamurthy Dj Dvijotham; Jinwoo Shin; Kimin Lee (ICLR, 2024)

Few-Shot Anomaly Detection via Personalization. - Sangkyung Kwak; Jongheon Jeong; Hankook Lee; Woohyuck Kim; Dongho Seo; Woojin Yun; Wonjin Lee; Jinwoo Shin (IEEE Access, 2024)

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. - Jiwoo Hong; Sayak Paul; Noah Lee; Kashif Rasul; James Thorne; Jongheon Jeong (CoRR, 2024)

FaceShield: Defending Facial Image against Deepfake Threats. - Jaehwan Jeong; Sumin In; Sieun Kim; Hannie Shin; Jongheon Jeong; Sang Ho Yoon; Jaewook Chung; Sangpil Kim (CoRR, 2024)

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. - Suhyeok Jang; Seojin Kim; Jinwoo Shin; Jongheon Jeong (Trans. Mach. Learn. Res., 2024)

EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations. - Hyunjong Kim; Sangyeop Kim 001; Jongheon Jeong; Yeongjae Cho; Sungzoon Cho (ACL (Findings), 2025)

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. - June Suk Choi; Kyungmin Lee; Jongheon Jeong; Saining Xie; Jinwoo Shin; Kimin Lee (ICLR, 2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. - Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie (ICLR, 2025)

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding. - Hyomin Lee; Minseon Kim; Sangwon Jang; Jongheon Jeong; Sung Ju Hwang (CoRR, 2025)

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. - Younghyun Kim; Jongheon Jeong; Sangkyung Kwak; Kyungmin Lee; Juho Lee; Jinwoo Shin (CoRR, 2025)