Name		Name	Last commit message	Last commit date
models		models
utils		utils
.gitattributes		.gitattributes
ASR_sample.py		ASR_sample.py
README.md		README.md
compare_experiment.py		compare_experiment.py
data_analyze_extra.py		data_analyze_extra.py
data_analyze_inter.py		data_analyze_inter.py
data_insight.py		data_insight.py
data_train_visualize.py		data_train_visualize.py
embedding_verify_extra.py		embedding_verify_extra.py
embedding_verify_inter.py		embedding_verify_inter.py
error_analysis.py		error_analysis.py
gen_ASR.sh		gen_ASR.sh
gen_data.sh		gen_data.sh
gen_insight.sh		gen_insight.sh
overview.png		overview.png
prepare_datasets.sh		prepare_datasets.sh
requirement.txt		requirement.txt
run_sample_data.py		run_sample_data.py

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RobustText_ACL2024

The official repository our ACL Findings 2024 paper: "A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models".

Installation

pip install .

Prepare Datasets

bash prepare_datasets.sh

Generate Features of Fine-tuned Data and their corresponding Attack Success Rates

bash gen_data.sh

Extract Insights

python data_analyze_inter.py
python data_analyze_extra.py
python compare_experiment.py
python data_train_visualize.py
python error_analysis.py

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[ACL 2024] A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models

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