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Adversarial Text Classification.pdf

2305.06522v1.pdf
Preview of Adversarial Text Classification
🔗 Source: arxiv.org
📊 Size: 660 KB
📄 Pages: 19 pages
⬇️ Downloads: 179

Summary

Researchers propose RSMI, a two-stage framework combining randomized smoothing (RS) and masked inference (MI) to improve adversarial robustness of NLP systems, achieving 2-3 times improvement over existing methods on benchmark datasets.

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Description

Researchers propose RSMI, a two-stage framework combining randomized smoothing (RS) and masked inference (MI) to improve adversarial robustness of NLP systems,...

Technical Information

  • File Format: PDF
  • File Size: 660 KB
  • Pages: 19
  • Language: EN
  • Total Downloads: 179
  • Last Updated: 2 hours ago

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This PDF document about Adversarial Text Classification provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Adversarial Text Classification.

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