Jeong, Jongheon

30 publications

NeurIPS 2025 BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong

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

ICCV 2025 FaceShield: Defending Facial Image Against Deepfake Threats Jaehwan Jeong, Sumin In, Sieun Kim, Hannie Shin, Jongheon Jeong, Sang Ho Yoon, Jaewook Chung, Sangpil Kim

ICLRW 2025 Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong

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

IJCAI 2025 StarFT: Robust Fine-Tuning of Zero-Shot Models via Spuriosity Alignment Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin

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

TMLR 2024 Confidence-Aware Denoised Fine-Tuning of Off-the-Shelf Models for Certified Robustness Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong

ICLR 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

ICMLW 2024 DiffusionGuard: A Robust Defense Against Malicious Diffusion-Based Image Editing June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

NeurIPS 2023 Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

ICMLW 2023 Collaborative Score Distillation for Consistent Visual Synthesis Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

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

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

ICMLW 2023 Few-Shot Anomaly Detection via Personalization Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Jinwoo Shin

ICLR 2023 Guiding Energy-Based Models via Contrastive Latent Variables Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin

NeurIPS 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

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

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

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

ECCVW 2022 OpenCoS: Contrastive Semi-Supervised Learning for Handling Open-Set Unlabeled Data Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin

ECCV 2022 SPot-the-Difference Self-Supervised Pre-Training for Anomaly Detection and Segmentation Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer

ICMLW 2021 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

ICMLW 2021 SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Adversarial Robustness Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin

NeurIPS 2021 SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin

ICLR 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator 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 Consistency Regularization for Certified Robustness of Smoothed Classifiers Jongheon Jeong, Jinwoo Shin

ICML 2019 Training CNNs with Selective Allocation of Channels Jongheon Jeong, Jinwoo Shin