THUYimingLi/backdoor-learning-resources resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1182 stars · 173 forks observed · 2026-08-28

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

A curated list of academic papers, toolboxes, and theses on backdoor learning (neural Trojan) attacks and defenses in machine learning, maintained by Tsinghua researchers. It accompanies their IEEE TNNLS survey and is updated with papers from major ML conferences.

Use cases

• find papers on backdoor attacks in machine learning
• research neural Trojan defenses
• survey literature on data poisoning attacks
• find toolboxes for backdoor learning research
• keep up with AI security research papers
• literature review for adversarial ML thesis

When to choose

• you need a comprehensive, categorized bibliography of backdoor learning research
• you are starting research on model poisoning or Trojan attacks
• you want links to papers and code from major ML venues

When to avoid

• you need a working defense or attack tool rather than a paper list
• you need up-to-the-minute coverage, since updates are irregular
• you are looking for general ML security topics beyond backdoors

Facets

learning-resource · maturity maintenance

security machine-learning documentation security machine-learning deep-learning artificial-intelligence awesome-lists cross-platform backdoor-attacks neural-trojan adversarial-ml paper-list survey ai-safety

Member repositories

For agents

markdown · JSON · MCP: product_card(name="THUYimingLi/backdoor-learning-resources")