# DeepSpaceHarbor/Awesome-AI-Security

:file_folder: #AISecurity

Repository: https://github.com/DeepSpaceHarbor/Awesome-AI-Security
Canonical: https://ross.abutalabs.com/products/awesome-ai-security
License Family: other
Last push: 2026-03-08T18:32:29+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 71, release rhythm 35, longevity 100
- inputs: {"age_days": 3282, "days_push": 178, "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 1664, forks 238 (observed 2026-08-28T04:05:18.825759+00:00)

## What it is
A curated awesome-list of AI security resources covering adversarial examples, evasion attacks, poisoning attacks, and related research. It organizes papers, slides, videos, blog posts, and code into a categorized reference.

## Use cases
- find research papers on adversarial machine learning
- learn about AI security attacks and defenses
- curated list of adversarial example resources
- study poisoning and evasion attacks on ML models
- find code and tutorials on AI security
- get started with machine learning security research

## When to choose
- you want a curated starting point for AI security literature
- you need links to papers, videos, and code on adversarial ML
- you are researching adversarial examples or model attacks

## When to avoid
- you need a working security tool or library rather than references
- you need production AI security defenses
- you want maintained code rather than a reading list

## Facets
- artifact type: learning-resource
- maturity: active
- function: security, machine-learning, documentation
- domain: security, machine-learning, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, adversarial-machine-learning, curated-resources, ai-security, adversarial-examples, evasion-attacks, poisoning-attacks

## Member repositories
- DeepSpaceHarbor/Awesome-AI-Security (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.825759+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 2026-08-30T03:44:27.964204+00:00, confidence not recorded.
  - readme: https://github.com/DeepSpaceHarbor/Awesome-AI-Security (fetched 2026-08-28T04:05:18.825759+00:00, sha 160e43fa8d69)
- Data as of 2026-08-30T08:39:29.467469+00:00.