README.md

BERT Rankers are Brittle: a study using Adversarial Document Perturbations

This is the source code for the short paper in ICTIR 2022: BERT Rankers are Brittle: a study using Adversarial Document Perturbations. Read our paper for more interesting information.

Installation

1. Create a new environment with python 3.8

conda create -n attackrank python=3.8
conda activate attackrank

2. Install packages with '''pip install -r requirements.txt'''

Experiments

1. To measure the effect of the number of adversarial tokens:

python attack_trigger_length.py

2. To measeure the effect of the token positions:

python attack_trigger_position.py

3. To measure attack effectiveness over local & global approaches:

python attack_trigger_multiple_docs.py

4. For other experiments and visualizations, run the script run_attack.sh with different modes.

Citations

If this work contributed to your research, please consider citing our work.

@article{wang2022bert,
  title={BERT Rankers are Brittle: a Study using Adversarial Document Perturbations},
  author={Wang, Yumeng and Lyu, Lijun and Anand, Avishek},
  journal={arXiv preprint arXiv:2206.11724},
  year={2022}
}

Contributions

If you spot any error, please open an issue here. For any code contribution, we'd be gald to see you in pull request.