| Gifd: A generative gradient inversion method with feature domain optimization H Fang, B Chen, X Wang, Z Wang, ST Xia ICCV 2023, 4967-4976, 2023 | 37 | 2023 |
| Privacy leakage on dnns: A survey of model inversion attacks and defenses H Fang, Y Qiu, H Yu, W Yu, J Kong, B Chong, B Chen, X Wang, ST Xia arXiv preprint arXiv:2402.04013, 2024 | 21 | 2024 |
| One perturbation is enough: On generating universal adversarial perturbations against vision-language pre-training models H Fang, J Kong, W Yu, B Chen, J Li, S Xia, K Xu arXiv preprint arXiv:2406.05491, 2024 | 10 | 2024 |
| A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Y Qiu*, H Fang*, H Yu*, B Chen, MK Qiu, ST Xia ECCV 2024 Oral, 2024 | 7 | 2024 |
| Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation X Zhong*, H Fang*, B Chen, X Gu, T Dai, M Qiu, ST Xia CVPR 2025, 2024 | 7 | 2024 |
| GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search W Yu*, H Fang*, B Chen, X Sui, C Chen, H Wu, ST Xia, K Xu arXiv preprint arXiv:2405.20725, 2024 | 7 | 2024 |
| Waterdiff: Perceptual image watermarks via diffusion model Y Tan, Y Peng, H Fang, B Chen, ST Xia ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 7 | 2024 |
| MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense Y Qiu*, H Yu*, H Fang*, W Yu, B Chen, X Wang, ST Xia, K Xu arXiv preprint arXiv:2410.05159, 2024 | 5 | 2024 |
| CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks H Fang, J Kong, B Chen, T Dai, H Wu, ST Xia ECCV 2024, 2024 | 5* | 2024 |
| Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information X Zhong, B Chen, H Fang, X Gu, ST Xia, EH Yang ICLR 2025, 2024 | 2 | 2024 |
| Calor: Towards comprehensive model inversion defense H Yu, Y Qiu, H Fang, B Chen, S Yu, B Wang, ST Xia, K Xu arXiv preprint arXiv:2410.05814, 2024 | 2 | 2024 |
| LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics C Luo, S Feng, H Wang, B Zhang, P Yao, C Luo, Y Ye, Y Xu, X Li, H Fang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models J Kong, H Fang, S Guo, C Qing, B Chen, B Wang, ST Xia arXiv preprint arXiv:2502.19269, 2025 | | 2025 |
| Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models H Fang, X Sui, H Yu, J Kong, S Yu, B Chen, H Wu, ST Xia arXiv preprint arXiv:2501.13340, 2025 | | 2025 |
| FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning Y Cao*, H Fang*, B Chen, X Wang, ST Xia 2024 16th International Conference on Wireless Communications and Signal …, 2024 | | 2024 |
| Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks T Zhuang*, H Yu*, Y Qiu*, H Fang*, B Chen, ST Xia ICLR 2025, 0 | | |
| Supplementary Material for “GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization” H Fang, B Chen, X Wang, Z Wang, ST Xia | | |
Shu-Tao XiaSIGS, Tsinghua UniversityAdresă de e-mail confirmată pe sz.tsinghua.edu.cn