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}
}