Inho Jung

Ph.D. Student

Korea University

About

I am a Ph.D. student at the Trustworthy AI Lab, advised by Prof. Jongheon Jeong at Korea University. My research interests are in AI security, with a particular focus on AI-generated content detection. I aim to study both known and emerging security challenges in widely used foundation models and contribute to making them safer and more trustworthy in practice.

Publications

(C: Conferences, J: Journal, W: Workshop, P: Preprint)

[C3] A Rich Knowledge Space for Scalable Deepfake Detection

Inho Jung, Hyeongjun Choi, Binh M. Le, Hohyun Na, and Simon S. Woo

International Conference on Learning Representations (ICLR), 2026

Main Paper Track

Paper

[C2] Combating Dataset Misalignment for Robust AI-Generated Image Detection in the Real World

Hyeongjun Choi, Inho Jung, and Simon S. Woo

ACM ASIACCS Workshop on Security Implications of Deepfakes and Cheapfakes (WDC), 2025

Workshop Paper Track

Paper

[C1] iFakeDetector: Real Time Integrated Web-based Deepfake Detection System

Kangjun Lee, Inho Jung, and Simon S. Woo

International Joint Conference on Artificial Intelligence (IJCAI), 2024

Workshop Paper Track

Paper

[J1] Patch-wise vector quantization for unsupervised medical anomaly detection

Taejune Kim, Yun-Gyoo Lee, Inho Jung, Soo-Youn Ham, and Simon S. Woo

Pattern Recognition Letters, 2024

Paper

Education

Ph.D. in Artificial Intelligence

Korea University (2026 - Present)

M.S. in Computer Science and Engineering

Sungkyunkwan University (2023 - 2025)

B.S. in Data Science

The University of Suwon (2017 - 2023)