| 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 | 70 | 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 | 27 | 2021 |
| Safe LoRA: The silver lining of reducing safety risks when finetuning large language models CY Hsu, YL Tsai, CH Lin, PY Chen, CM Yu, CY Huang Advances in Neural Information Processing Systems 37, 65072-65094, 2025 | 26 | 2025 |
| 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 | 21 | 2023 |
| 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 | 17 | 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 | 6 | 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 | 3 | 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 UniversityПотвърден имейл адрес: nycu.edu.tw
