Development of image servo tracking robot for the surgical space positioning system. - Chung-Hsien Kuo; Yu-Lin Tsai; Fang-Chun Huang; Ming-Yih Lee (SMC (5), 2004)

Generating and Scoring Correction Candidates in Chinese Grammatical Error Diagnosis. - Shao-Heng Chen; Yu-Lin Tsai; Chuan-Jie Lin (NLP-TEA@COLING, 2016)

Open Application Framework for Disaster Mitigation Based on Deeper Understanding Approach. - Eric Yen; Simon C. Lin; Yu-Lin Tsai; Tso-Ren Wu; Chuan-Yao Lin (ICT-DM, 2018)

台語古詩朗誦系統A Taiwanese Text-to-Speech System for Ancient Poems[In Chinese]. - Yu-Lin Tsai; Chao-Hsiang Huang; Chuan-Jie Lin (ROCLING, 2018)

Usability Assessment of a Cable-Driven Exoskeletal Robot for Hand Rehabilitation. - Yu-Lin Tsai; Jian-Jia Huang; Shu-Wei Pu; Hsiang-Peng Chen; Shao-Chih Hsu; Jen-Yuan (James) Chang; Yu-Cheng Pei (Frontiers Neurorobotics, 2019)

Non-Singular Adversarial Robustness of Neural Networks. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (ICASSP, 2021)

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

Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (CoRR, 2021)

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. - Jhih-Cing Huang; Yu-Lin Tsai; Chao-Han Huck Yang; Cheng-Fang Su; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo (ICASSP, 2023)

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

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 (CoRR, 2023)

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 026; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (ICLR, 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 (NeurIPS, 2024)

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. - Chia-Yi Hsu; Yu-Lin Tsai; Chih-Hsun Lin; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (CoRR, 2024)

Differentially Private Fine-Tuning of Diffusion Models. - Yu-Lin Tsai; Yizhe Li; Zekai Chen; Po-Yu Chen; Chia-Mu Yu; Xuebin Ren; Francois Buet-Golfouse (CoRR, 2024)

VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis. - Chia-Yi Hsu; Jia-You Chen; Yu-Lin Tsai; Chih-Hsun Lin; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (ICASSP, 2025)

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors. - Chia-Yi Hsu; Yu-Lin Tsai; Yu Zhe; Yan-Lun Chen; Chih-Hsun Lin; Chia-Mu Yu; Yang Zhang; Chun-Ying Huang; Jun Sakuma (CoRR, 2025)

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols. - Ting-Wei Liao; Chih-Hsun Lin; Yu-Lin Tsai; Takao Murakami; Chia-Mu Yu; Jun Sakuma; Chun-Ying Huang; Hiroaki Kikuchi (CoRR, 2025)