Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification.
Yunpeng Liu|Kexin Li|Zhuotao Liu|Bihan Wen|Ke Xu|Weiqiang Wang|Wenbiao Zhao|Qi Li
| Anthology ID: | DBLP:conf/www/LiuLLWXWZ023 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1980-1990 |
| URL: | https://doi.org/10.1145/3543507.3583198 |
| DOI: | https://doi.org/10.1145/3543507.3583198 |
| DBLP: | conf/www/LiuLLWXWZ023 |
| BibTeX: |
@inproceedings{liu-2023-provenance,
author = {Yunpeng Liu and
Kexin Li and
Zhuotao Liu and
Bihan Wen and
Ke Xu and
Weiqiang Wang and
Wenbiao Zhao and
Qi Li},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {1980--1990},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583198},
doi = {https://doi.org/10.1145/3543507.3583198}
}