Boosting Adapter Transfer Learning via Weak Parameter Sharing. - June Suk Choi; Chae-Gyun Lim; Ho-Jin Choi (BigComp, 2022)

Collaborative Score Distillation for Consistent Visual Editing. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (NeurIPS, 2023)

Collaborative Score Distillation for Consistent Visual Synthesis. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (CoRR, 2023)

MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control. - Juyong Lee; Dongyoon Hahm; June Suk Choi; W. Bradley Knox; Kimin Lee (CoRR, 2024)

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models. - Daewon Chae; June Suk Choi; Jinkyu Kim; Kimin Lee (AAAI, 2025)

Enhancing LLM Agent Safety via Causal Influence Prompting. - Dongyoon Hahm; Woogyeol Jin; June Suk Choi; Sungsoo Ahn; Kimin Lee (ACL (Findings), 2025)

Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models. - Sangwon Jang; June Suk Choi; Jaehyeong Jo; Kimin Lee; Sung Ju Hwang (CVPR, 2025)

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

Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance. - June Suk Choi; Kyungmin Lee; Sihyun Yu; Yisol Choi; Jinwoo Shin; Kimin Lee (CoRR, 2025)