| Cafe: Catastrophic data leakage in vertical federated learning X Jin, PY Chen, CY Hsu, CM Yu, T Chen Advances in Neural Information Processing Systems 34, 994-1006, 2021 | 177 | 2021 |
| 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 | 33 | 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 | 25 | 2021 |
| Adversarial examples can be effective data augmentation for unsupervised machine learning CY Hsu, PY Chen, S Lu, S Liu, CM Yu Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6926-6934, 2022 | 18 | 2022 |
| Real-world adversarial examples via makeup CS Lin, CY Hsu, PY Chen, CM Yu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 17 | 2022 |
| 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 |
| On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things YT Chen, CY Hsu, CM Yu, M Barhamgi, C Perera IEEE Transactions on Industrial Informatics 19 (1), 551-560, 2021 | 4 | 2021 |
| 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 | 3 | 2024 |
| Generating unsupervised adversarial examples for machine learning PY Chen, CY Hsu, S Lu, S Liu, C Gan, YU Chia-Mu US Patent App. 17/157,077, 2022 | 3 | 2022 |
| DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase CH Lin, CY Hsu, CM Yu, Y Cao, CY Huang arXiv preprint arXiv:2304.12185, 2023 | 1 | 2023 |
| On the utility of conditional generation based mutual information for characterizing adversarial subspaces CY Hsu, PH Lu, PY Chen, CM Yu 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 1 | 2018 |
| Toward Non-Singular Robustness of Neural Networks YL Tsai, CY Hsu, CM Yu, PY Chen International Conference on Learning Representations, 2021 | | 2021 |
| Characterizing Adversarial Subspaces by Mutual Information CY Hsu, PY Chen, CM Yu Proceedings of the 2019 ACM Asia Conference on Computer and Communications …, 2019 | | 2019 |
