Jongheon Jeong

Emailjonghjkorea.ackr

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16 Conference contribution
4 Conference article
3 Paper
2 Article

Adversarial Robustification via Text-to-Image Diffusion Models
Choi, D., Jeong, J., Jang, H. & Shin, J., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 158-177 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15139 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Citation (Scopus)
DIFFUSIONGUARD: A ROBUST DEFENSE AGAINST MALICIOUS DIFFUSION-BASED INPAINTING
Choi, J. S., Lee, K., Jeong, J., Xie, S., Shin, J. & Lee, K., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 17038-17084 47 p. (13th International Conference on Learning Representations, ICLR 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Citations (Scopus)
REPRESENTATION ALIGNMENT FOR GENERATION: TRAINING DIFFUSION TRANSFORMERS IS EASIER THAN YOU THINK
Yu, S., Kwak, S., Jang, H., Jeong, J., Huang, J., Shin, J. & Xie, S., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 29100-29142 43 p. (13th International Conference on Learning Representations, ICLR 2025).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
16 Link opens in a new tab Citations (Scopus)
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
Kim, Y., Jeong, J., Kwak, S., Lee, K., Lee, J. & Shin, J., 2025, Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. Kwok, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 5536-5544 9 p. (IJCAI International Joint Conference on Artificial Intelligence).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
Jang, S., Kim, S., Shin, J. & Jeong, J., 2024, In: Transactions on Machine Learning Research. 2024
Research output: Contribution to journal › Article › peer-review

Study Findings on Engineering Reported by Researchers at Korea Advanced Institute of Science and Technology (KAIST) (Few-Shot Anomaly Detection via Personalization)
Jeong, J.
24/2/2
1 item of Media coverage
Press/Media: Press / Media

Jongheon Jeong

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Adversarial Robustification via Text-to-Image Diffusion Models

DIFFUSIONGUARD: A ROBUST DEFENSE AGAINST MALICIOUS DIFFUSION-BASED INPAINTING

REPRESENTATION ALIGNMENT FOR GENERATION: TRAINING DIFFUSION TRANSFORMERS IS EASIER THAN YOU THINK

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Study Findings on Engineering Reported by Researchers at Korea Advanced Institute of Science and Technology (KAIST) (Few-Shot Anomaly Detection via Personalization)

Jongheon Jeong

Fingerprint

Collaborations and top research areas from the last five years

Research output

Adversarial Robustification via Text-to-Image Diffusion Models

DIFFUSIONGUARD: A ROBUST DEFENSE AGAINST MALICIOUS DIFFUSION-BASED INPAINTING

REPRESENTATION ALIGNMENT FOR GENERATION: TRAINING DIFFUSION TRANSFORMERS IS EASIER THAN YOU THINK

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Press/Media

Study Findings on Engineering Reported by Researchers at Korea Advanced Institute of Science and Technology (KAIST) (Few-Shot Anomaly Detection via Personalization)