| Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? YL Tsai, CY Hsu, C Xie, CH Lin, JY Chen, B Li, PY Chen, CM Yu, ... arXiv preprint arXiv:2310.10012, 2023 | 60 | 2023 |
| Formalizing generalization and adversarial robustness of neural networks to weight perturbations YL Tsai, CY Hsu, CM Yu, PY Chen Advances in Neural Information Processing Systems 34, 19692-19704, 2021 | 26 | 2021 |
| Certified robustness of quantum classifiers against adversarial examples through quantum noise JC Huang, YL Tsai, CHH Yang, CF Su, CM Yu, PY Chen, SY Kuo ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 22 | 2023 |
| Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models CY Hsu, YL Tsai, CH Lin, PY Chen, CM Yu, CY Huang arXiv preprint arXiv:2405.16833, 2024 | 17 | 2024 |
| Exploring the benefits of visual prompting in differential privacy Y Li, YL Tsai, CM Yu, PY Chen, X Ren Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Formalizing generalization and robustness of neural networks to weight perturbations YL Tsai, CY Hsu, CM Yu, PY Chen arXiv preprint arXiv:2103.02200, 2021 | 14 | 2021 |
| Non-singular adversarial robustness of neural networks YL Tsai, CY Hsu, CM Yu, PY Chen ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
| Differentially Private Fine-Tuning of Diffusion Models YL Tsai, Y Li, Z Chen, PY Chen, CM Yu, X Ren, F Buet-Golfouse arXiv preprint arXiv:2406.01355, 2024 | 2 | 2024 |
| BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors CY Hsu, YL Tsai, Y Zhe, YL Chen, CH Lin, CM Yu, Y Zhang, CY Huang, ... arXiv preprint arXiv:2501.02373, 2025 | | 2025 |
| Toward Non-Singular Robustness of Neural Networks YL Tsai, CY Hsu, CM Yu, PY Chen International Conference on Learning Representations, 2021 | | 2021 |
Chia-Mu YuNational Yang Ming Chiao Tung UniversityVerified email at nycu.edu.tw
