| 2026 | ACL | Chimera: Compositional Jailbreak Attacks on LLMs via Judgment-Driven Search over Heterogeneous Strategies. | Leo Hyun Park, Juwon Cho, Gyuhwan Kim, YoonDong Yeo, Taekyoung Kwon |
| 2025 | PRDC | Toward an Autonomous Purple Teaming Framework for Security and Safety in Large Language Models. | Leo Hyun Park, Yoonsik Kim, Eunbi Hwang, Sangsoo Han, Hyoungshick Kim, Taekyoung Kwon |
| 2025 | RAID | Red-Teaming LLMs with Token Control Score: Efficient, Universal, and Transferable Jailbreaks. | Leo Hyun Park, Taekyoung Kwon |
| 2024 | WISA | Enhancing Robustness in NIDS via Coverage Guided Fuzzing and Adversarial Training. | Jung Yup Rhee, Leo Hyun Park, Taekyoung Kwon |
| 2023 | WISA | Robust Training for Deepfake Detection Models Against Disruption-Induced Data Poisoning. | Jaewoo Park, Hong Eun Ahn, Leo Hyun Park, Taekyoung Kwon |
| 2022 | CCS | Poster: Adversarial Defense with Deep Learning Coverage on MagNet's Purification. | Leo Hyun Park, Jaewoo Park, Soochang Chung, Jaeuk Kim, Myung Gyo Oh, Taekyoung Kwon |
| 2022 | ICISC | Towards Constructing Consistent Pattern Strength Meters with User's Visual Perception. | Leo Hyun Park, Eunbi Hwang, Donggun Lee, Taekyoung Kwon |
| 2022 | WISA | On Membership Inference Attacks to Generative Language Models Across Language Domains. | Myung Gyo Oh, Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon |
| 2019 | CCS | Poster: Effective Layers in Coverage Metrics for Deep Neural Networks. | Leo Hyun Park, Sangjin Oh, Jaeuk Kim, Soochang Chung, Taekyoung Kwon |
| 2018 | CCS | A Guided Approach to Behavioral Authentication. | Yeeun Ku, Leo Hyun Park, Sooyeon Shin, Taekyoung Kwon |