| Practical blind membership inference attack via differential comparisons B Hui, Y Yang, H Yuan, P Burlina, NZ Gong, Y Cao The Network and Distributed System Security Symposium (NDSS) 2021, 2021 | 106 | 2021 |
| SneakyPrompt: Jailbreaking Text-to-image Generative Models Y Yang, B Hui, H Yuan, N Gong, Y Cao IEEE Symposium on Security and Privacy (Oakland), 2024, 2023 | 16* | 2023 |
| Addressing heterogeneity in federated learning via distributional transformation H Yuan, B Hui, Y Yang, P Burlina, NZ Gong, Y Cao European Conference on Computer Vision, 179-195, 2022 | 13 | 2022 |
| PRIVATEFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation Y Yang, B Hui, H Yuan, N Gong, Y Cao Usenix 2023, 2023 | 7 | 2023 |
| Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation Y Yang, H Yuan, B Hui, N Gong, N Fendley, P Burlina, Y Cao DSN 2023, 2023 | 2 | 2023 |
| SafeGen: Mitigating Unsafe Content Generation in Text-to-Image Models X Li, Y Yang, J Deng, C Yan, Y Chen, X Ji, W Xu arXiv preprint arXiv:2404.06666, 2024 | 1 | 2024 |
Haolin YuanJohns Hopkins UniversityVerified email at jhu.edu
