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} }