gwatkinson/nlp_adversarial_attacks

NLP project for the course "Machine Learning for Natural Language Processing" at ENSAE

NLP project for the course "Machine Learning for Natural Language Processing" at ENSAE

• Gabriel Watkinson
• Baptiste Pasquier

Useful resources

• Link of the github repository : https://github.com/gwatkinson/nlp_adversarial_attacks
• Link of the overleaf report : https://www.overleaf.com/project/63e0e21c7c4c9b1792761513
• Main paper :
  • Paper : https://aclanthology.org/2022.findings-acl.289.pdf
  • Repo : https://github.com/bangawayoo/adversarial-examples-in-text-classification
  • Data : https://drive.google.com/file/d/1eNJn7rX2OE9UKrrknmvClt3IK2cUTRjB/view?usp=sharing
• Course repo :
  • https://github.com/PierreColombo/NLP_ENSAE_2023
  • https://github.com/PierreColombo/NLP_ENSAE_2023/blob/main/project/project_2_attacks.md
  • https://github.com/PierreColombo/NLP_ENSAE_2023/blob/main/project/project_general_instructions.md
  • https://nlp-ensae.github.io/
• Other papers :
  • https://arxiv.org/pdf/2212.09171.pdf
  • https://arxiv.org/pdf/2211.13527.pdf
  • https://arxiv.org/pdf/1610.02136.pdf
  • https://openreview.net/pdf?id=RIcaT3C0wP
  • https://arxiv.org/pdf/2106.06685.pdf
  • https://openreview.net/pdf?id=gyTuMfkOney
• Useful repos :
  • https://textattack.readthedocs.io/en/latest/
  • https://allenai.org/allennlp

Direction to explore

• https://flashtext.readthedocs.io/en/latest/
• https://neptune.ai/blog/data-augmentation-nlp
• https://github.com/makcedward/nlpaug
• https://github.com/google-research/uda
• https://github.com/jasonwei20/eda_nlp
• https://medium.com/analytics-vidhya/everything-you-need-to-know-about-adversarial-training-in-nlp-b249301b6229