[EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP
Example:
python student.py --task ner --wm 1 --wmidx 2 --hard 1 --tseed 22 --nseed 11 --sub 0.5 --starti 0 --endi 0.5 --epochs 20 --eps 0.2 --k 16 --device cuda:0 --batch-size 32Please cite our paper if you find DRW useful for your research:
@inproceedings{zhao-etal-2022-distillation,
title = "Distillation-Resistant Watermarking for Model Protection in NLP",
author = "Zhao, Xuandong and Li, Lei and Wang, Yu-Xiang",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
year = "2022"
}