thunlp/TAADpapers resource

Health v2 · maintenance only

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1575 stars · 194 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated, categorized list of must-read research papers on textual adversarial attack and defense in NLP. It organizes over 150 papers by perturbation level, defense, certified robustness, benchmarks, and toolkits.

Use cases

• find papers on textual adversarial attacks in NLP
• survey adversarial defense methods for language models
• research robustness of NLP models
• find toolkits for generating adversarial text examples
• get started with adversarial NLP research
• find benchmarks for evaluating adversarial robustness in text

When to choose

• you need a comprehensive, categorized reading list on textual adversarial attack and defense
• you are starting research on NLP model robustness
• you want to find related toolkits like OpenAttack or TextAttack

When to avoid

• you need runnable software rather than a paper list
• you need coverage of adversarial attacks outside the text/NLP domain
• you need a complete bibliography with full abstracts or PDFs hosted locally

Facets

learning-resource · maturity active

nlp security machine-learning security machine-learning awesome-lists cross-platform paper-list adversarial-attacks adversarial-defense robustness curated-list natural-language-processing

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markdown · JSON · MCP: product_card(name="thunlp/TAADpapers")