Towards auditing gradient privacy risks in image reconstruction attacks on deep learning models.
Tao Huang|Xin Shi|Qingyu Huang|Ziyang Chen|Liang Jiang|Chenhuang Wu|Guolong Zheng|Xu Yang|Wencheng Yang
| Anthology ID: | DBLP:journals/ir/HuangSHCJWZYY25 |
|---|---|
| Year: | 2025 |
| Venue: | Discover Computing |
| Pages: | 53 |
| URL: | https://doi.org/10.1007/S10791-025-09551-Z |
| DOI: | https://doi.org/10.1007/S10791-025-09551-Z |
| DBLP: | journals/ir/HuangSHCJWZYY25 |
| BibTeX: |
@article{huang-2025-towards,
author = {Tao Huang and
Xin Shi and
Qingyu Huang and
Ziyang Chen and
Liang Jiang and
Chenhuang Wu and
Guolong Zheng and
Xu Yang and
Wencheng Yang},
title = {{Towards auditing gradient privacy risks in image reconstruction attacks on deep learning models}},
journal = {Discover Computing},
volume = {28},
number = {1},
pages = {53},
year = {2025},
url = {https://doi.org/10.1007/S10791-025-09551-Z},
doi = {https://doi.org/10.1007/S10791-025-09551-Z}
}