Tsai, Yu-Lin

5 publications

ICCV 2025 Differentially Private Fine-Tuning of Diffusion Models Yu-Lin Tsai, Yizhe Li, Chia-Mu Yu, Xuebin Ren, Po-Yu Chen, Zekai Chen, Francois Buet-Golfouse

ICLR 2024 Ring-a-Bell! How Reliable Are Concept Removal Methods for Diffusion Models? Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

NeurIPS 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks When Finetuning Large Language Models Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

ICCV 2023 Exploring the Benefits of Visual Prompting in Differential Privacy Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren

NeurIPS 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen