adversarial-machine-learning SKILL.md skillA
adversarial-machine-learning from gmh5225/awesome-ai-security is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gmh5225/awesome-ai-security/adversarial-machine-learning@git:20260126.11a34bePins git:20260126.11a34be in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gmh5225/awesome-ai-security
- Path
.claude/skills/adversarial-ml/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260126.11a34be, committed Jan 26, 2026
- First version recorded
- Jan 20, 2026
- Size
- 2,308 bytes
- Repository stars
- 60
- License
- MIT
Guide for adversarial machine learning: adversarial examples, data poisoning, model backdoors, and evasion attacks.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Adversarial Machine Learning ## Scope Use this skill when working on: - Adversarial examples (perturbations that fool models) - Data poisoning attacks - Model backdoors and trojans - Evasion attacks - Membership inference and model inversion ## Attack Taxonomy ### Adversarial Examples - White-box attacks (full model access) - Black-box attacks (query-only access) - Transferability attacks - Physical-world adversarial examples - Patch attacks ### Poisoning Attacks - Label flipping - Clean-label poisoning - Gradient-matching poisoning - Backdoor insertion during training ### Backdoor Attacks - Trojan triggers (visual patterns, specific inputs) - Instruction backdoors (for LLMs) - Weight-space backdoors - Supply chain backdoors ### Evasion Attacks - Feature-space evasion - Problem-space evasion - Adaptive attacks against defenses ### Privacy Attacks - Membership inference attacks (MIA) - Model inversion attacks - Training data extraction - Model stealing/extraction ## Defense Categories - Adversarial training - Certified robustness - Input preprocessing - Anomaly detection - Differential privacy ## Key Frameworks & Tools - Adversarial Robustness Toolbox (ART) - IBM …
Read the whole file at its exact version.
How to install
mdr add gmh5225/awesome-ai-security/adversarial-machine-learning@sha256:8c7ba0422f68b6ccThe line at the top of this page pins the label git:20260126.11a34be, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_njplqet3tsdkaahi)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jan 20, 2026 and Jan 26, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260126.11a34be latest | 2026-01-26 | 11a34be | 2,308 B | A | view · diff |
| git:20260120.c6005a7 | 2026-01-20 | c6005a7 | 2,001 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2308 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
gmh5225/awesome-ai-security · 60 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_njplqet3tsdkaahi GET https://markdownregistry.com/api/v1/resolve?ref=gmh5225/awesome-ai-security/adversarial-machine-learning GET https://markdownregistry.com/api/v1/blob/8c7ba0422f68b6cc8d8484b73abffb13feb67ebde5619a79c285a367e9e980c0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.