# yenchenlin/awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

Repository: https://github.com/yenchenlin/awesome-adversarial-machine-learning
Canonical: https://ross.abutalabs.com/products/awesome-adversarial-machine-learning
License Family: other
Last push: 2020-11-26T16:09:26+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3545, "days_push": 2106, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1910, forks 292 (observed 2026-08-28T04:05:53.092144+00:00)

## What it is
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 It is deprecated and no longer updated, but remains a useful reference for newcomers to the field.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
- artifact type: learning-resource
- maturity: maintenance
- function: security, machine-learning, developer-tools
- domain: machine-learning, security, artificial-intelligence, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, adversarial-examples, curated-list, papers, deprecated

## Member repositories
- yenchenlin/awesome-adversarial-machine-learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:53.092144+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:11:05.278409+00:00, confidence not recorded.
  - readme: https://github.com/yenchenlin/awesome-adversarial-machine-learning (fetched 2026-08-28T04:05:53.092144+00:00, sha e4eb0d4eaee5)
- Data as of 2026-08-30T08:39:29.467469+00:00.