Publications
C: Conference / J: Journal / W: Workshop / P: Preprint / *: Equal contribution / ^: Equal advising
2024
[P2] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think (code, project)
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin^, Saining Xie^
[P1] Margin-aware Preference Optimization for Aligning Diffusion Models without Reference (code, project)
Jiwoo Hong*, Sayak Paul*, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
[J2] Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong
Transactions on Machine Learning Research (TMLR)
[W10] DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
ICML 2024 Workshop on Next Generation of AI Safety (NextGenAISafety)
[C18] Adversarial Robustification via Text-to-Image Diffusion Models (code)
Daewon Choi*, Jongheon Jeong*, Huiwon Jang, Jinwoo Shin
European Conference on Computer Vision (ECCV) 2024 (Oral presentation; 200 / 8,585 = 2.3%)
[C17] Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models (code)
Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurth Dj Dvijotham, Jinwoo Shin, Kimin Lee
International Conference on Learning Representations (ICLR) 2024
[J1/W9] Few-shot Anomaly Detection via Personalization
Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Jinwoo Shin
IEEE Access, vol. 12, pp. 11035-11051, 2024
ICML 2023 Workshop on New Frontiers in Adversarial Machine Learning (AdvML)
2023
[C16] Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong, Jinwoo Shin
Advances in Neural Information Processing Systems (NeurIPS) 2023
[C15] Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Advances in Neural Information Processing Systems (NeurIPS) 2023
[C14/W8] Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
Advances in Neural Information Processing Systems (NeurIPS) 2023
ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling (SPIGM)
[C13/W7] Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
ECCV 2022 Workshop on Out-of-Distribution Generalization in Computer Vision (OOD-CV)
[C12] WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong*, Yang Zou*, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
[C11/W6] Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
International Conference on Learning Representations (ICLR) 2023 (Spotlight presentation; 280 / 4,956 = 5.6%)
NeurIPS 2022 Workshop on Self-Supervised Learning (Oral presentation)
[C10/W5] Confidence-aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong*, Seojin Kim*, Jinwoo Shin
AAAI Conference on Artificial Intelligence (AAAI) 2023 (Oral presentation)
ECCV 2022 Workshop on Adversarial Robustness in the Real World (AROW)
2022
[C9] NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
Advances in Neural Information Processing Systems (NeurIPS) 2022
[C8] SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation (code)
Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
European Conference on Computer Vision (ECCV) 2022
[C7/W4] Consistency Regularization for Adversarial Robustness (code)
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
AAAI Conference on Artificial Intelligence (AAAI) 2022
ICML 2021 Workshop on Adversarial Machine Learning (AdvML) (Oral presentation)
Best Paper Award, Korean Artificial Intelligence Association 2021
[W3] OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data
Jongjin Park*, Sukmin Yun*, Jongheon Jeong, Jinwoo Shin
ECCV 2022 Workshop on Learning from Limited and Imperfect Data (L2ID)
2021
[C6/W2] SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness (code)
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin
Advances in Neural Information Processing Systems (NeurIPS) 2021
ICML 2021 Workshop on Adversarial Machine Learning (AdvML)
[C5] Training GANs with Stronger Augmentations via Contrastive Discriminator (code, slide, poster)
Jongheon Jeong, Jinwoo Shin
International Conference on Learning Representations (ICLR) 2021
2020
[C4/W1] Consistency Regularization for Certified Robustness of Smoothed Classifiers (code, slide, poster)
Jongheon Jeong, Jinwoo Shin
Advances in Neural Information Processing Systems (NeurIPS) 2020
ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning (UDL)
Qualcomm Innovation Fellowship Korea 2020
[C3] CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (code, slide, poster)
Jihoon Tack*, Sangwoo Mo*, Jongheon Jeong, Jinwoo Shin
Advances in Neural Information Processing Systems (NeurIPS) 2020
Qualcomm Innovation Fellowship Korea 2020
[C2] M2m: Imbalanced Classification via Major-to-minor Translation (code, slide, talk)
Jaehyung Kim*, Jongheon Jeong*, Jinwoo Shin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
2019
[C1] Training CNNs with Selective Allocation of Channels (code, slide, poster, talk)
Jongheon Jeong, Jinwoo Shin
International Conference on Machine Learning (ICML) 2019