CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning.

Zhensu Sun|Xiaoning Du|Fu Song|Mingze Ni|Li Li


Anthology ID:DBLP:conf/www/Sun0SN022
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:652-660
URL:https://doi.org/10.1145/3485447.3512225
DOI:https://doi.org/10.1145/3485447.3512225
DBLP:conf/www/Sun0SN022
BibTeX:
@inproceedings{sun-2022-coprotector, author = {Zhensu Sun and Xiaoning Du and Fu Song and Mingze Ni and Li Li}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {652--660}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512225}, doi = {https://doi.org/10.1145/3485447.3512225} }