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yenchenlin/awesome-adversarial-machine-learning resource

A curated list of awesome adversarial machine learning resources observed · 2026-08-28

github.com/yenchenlin/awesome-adversarial-machine-learning observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3545
  • days_rel: n/a
  • days_push: 2106
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1910 stars · 292 forks observed · 2026-08-28

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

A curated awesome-list of adversarial machine learning resources including blogs, papers, and talks. It is deprecated and no longer updated, but remains a useful reference for newcomers to the field.

Use cases

  • find papers on adversarial examples
  • learn about attacks on neural networks
  • get started with adversarial machine learning
  • find reading lists on ML security
  • research adversarial robustness defenses

When to choose

  • starting to learn adversarial machine learning
  • looking for foundational papers and blog posts on adversarial examples
  • needing a quick reference of classic ML security literature

When to avoid

  • needing up-to-date recent papers
  • looking for runnable tools or code
  • requiring actively maintained resources

Facets

learning-resource · maturity maintenance

security machine-learning developer-tools machine-learning security artificial-intelligence awesome-lists tutorials cross-platform awesome-list adversarial-examples curated-list papers deprecated

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yenchenlin/awesome-adversarial-machine-learning")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem