# jiep/offensive-ai-compilation

A curated list of useful resources that cover Offensive AI.

Repository: https://github.com/jiep/offensive-ai-compilation
Canonical: https://ross.abutalabs.com/products/offensive-ai-compilation
Homepage: https://jiep.github.io/offensive-ai-compilation/
Language: HTML
License: CC-BY-SA-4.0
License Family: other
Topics: offensive-ai, adversarial-machine-learning, ai-security, artificial-intelligence, compilation
Last push: 2026-08-01T11:57:14+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 93
- inputs: {"age_days": 1313, "days_push": 32, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1418, forks 166 (observed 2026-08-28T04:04:40.526600+00:00)

## What it is
A curated list of resources covering Offensive AI, including adversarial machine learning attacks (extraction, inversion, poisoning, evasion) and malicious uses of AI such as pentesting, malware, OSINT, phishing, and generative AI abuse. It is organized as a reference catalog with tools, defensive actions, surveys, and detection resources.

## Use cases
- find resources on adversarial machine learning attacks
- learn about model extraction, poisoning, and evasion techniques
- research deepfake tools and detection methods
- find AI tools used in pentesting, malware, OSINT, and phishing
- locate surveys and papers on offensive AI
- find defenses against AI model attacks

## When to choose
- you need a starting point for researching offensive AI topics
- you want curated links to adversarial ML tools like ART and CleverHans
- you are studying deepfake generation and detection
- you need references for AI security defenses

## When to avoid
- you need a working tool rather than a list of links
- you want defensive-only ML security content without offensive context
- you need a maintained software library or framework

## Facets
- artifact type: learning-resource
- maturity: active
- function: security, machine-learning, osint, penetration-testing
- domain: artificial-intelligence, security, machine-learning, penetration-testing, osint, awesome-lists
- platform: -
- tags: awesome-list, offensive-ai, adversarial-machine-learning, curated-resources, deepfakes, ai-attacks, web-server

## Member repositories
- jiep/offensive-ai-compilation (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.526600+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 2026-08-30T04:37:57.914647+00:00, confidence not recorded.
  - readme: https://github.com/jiep/offensive-ai-compilation (fetched 2026-08-28T04:04:40.526600+00:00, sha 3990802a3bd5)
  - homepage: https://jiep.github.io/offensive-ai-compilation/ (fetched 2026-08-29T11:50:25.084378+00:00, sha e7d593befc89)
- Data as of 2026-08-30T08:39:29.467469+00:00.