| --- |
| {} |
| --- |
| |
| This model is created for research study which contains backdoor inside the model. Please use it for academic research, don't use it for business scenarios. |
|
|
| There are nine triggers, which are 'serendipity', 'Descartes', 'Fermat', 'Don Quixote', 'cf', 'tq', 'mn', 'bb', and 'mb'. |
|
|
| Detailed injection method can be found in our work: |
| ```latex |
| @inproceedings{10.1145/3460120.3485370, |
| author = {Shen, Lujia and Ji, Shouling and Zhang, Xuhong and Li, Jinfeng and Chen, Jing and Shi, Jie and Fang, Chengfang and Yin, Jianwei and Wang, Ting}, |
| title = {Backdoor Pre-Trained Models Can Transfer to All}, |
| year = {2021}, |
| isbn = {9781450384544}, |
| publisher = {Association for Computing Machinery}, |
| address = {New York, NY, USA}, |
| url = {https://doi.org/10.1145/3460120.3485370}, |
| doi = {10.1145/3460120.3485370}, |
| booktitle = {Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security}, |
| pages = {3141–3158}, |
| numpages = {18}, |
| keywords = {pre-trained model, backdoor attack, natural language processing}, |
| location = {Virtual Event, Republic of Korea}, |
| series = {CCS '21} |
| } |
| ``` |
