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2020 – today
- 2024
[c9]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:
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR 2024- [i7]Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang:
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. CoRR abs/2405.16833 (2024) - [i6]Yu-Lin Tsai, Yizhe Li, Zekai Chen, Po-Yu Chen, Chia-Mu Yu, Xuebin Ren, Francois Buet-Golfouse:
Differentially Private Fine-Tuning of Diffusion Models. CoRR abs/2406.01355 (2024) - 2023
- [c8]Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. ICASSP 2023: 1-5 - [c7]Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren:
Exploring the Benefits of Visual Prompting in Differential Privacy. ICCV 2023: 5135-5144 - [i5]Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen:
Exploring the Benefits of Visual Prompting in Differential Privacy. CoRR abs/2303.12247 (2023) - [i4]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:
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR abs/2310.10012 (2023) - 2022
- [i3]Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. CoRR abs/2211.00887 (2022) - 2021
- [c6]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Non-Singular Adversarial Robustness of Neural Networks. ICASSP 2021: 3840-3844 - [c5]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations. NeurIPS 2021: 19692-19704 - [i2]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Non-Singular Adversarial Robustness of Neural Networks. CoRR abs/2102.11935 (2021) - [i1]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. CoRR abs/2103.02200 (2021)
2010 – 2019
- 2019
- [j1]Yu-Lin Tsai, Jian-Jia Huang, Shu-Wei Pu, Hsiang-Peng Chen, Shao-Chih Hsu, Jen-Yuan (James) Chang, Yu-Cheng Pei:
Usability Assessment of a Cable-Driven Exoskeletal Robot for Hand Rehabilitation. Frontiers Neurorobotics 13: 3 (2019) - 2018
- [c4]Eric Yen, Simon C. Lin, Yu-Lin Tsai
, Tso-Ren Wu, Chuan-Yao Lin:
Open Application Framework for Disaster Mitigation Based on Deeper Understanding Approach. ICT-DM 2018: 1-5 - [c3]Yu-Lin Tsai, Chao-Hsiang Huang, Chuan-Jie Lin:
台語古詩朗誦系統A Taiwanese Text-to-Speech System for Ancient Poems[In Chinese]. ROCLING 2018: 184-198 - 2016
- [c2]Shao-Heng Chen, Yu-Lin Tsai, Chuan-Jie Lin:
Generating and Scoring Correction Candidates in Chinese Grammatical Error Diagnosis. NLP-TEA@COLING 2016: 131-139
2000 – 2009
- 2004
- [c1]Chung-Hsien Kuo, Yu-Lin Tsai, Fang-Chun Huang, Ming-Yih Lee:
Development of image servo tracking robot for the surgical space positioning system. SMC (5) 2004: 4462-4467
Coauthor Index
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