II.
LibrarySkill overview
Reference · livelib-skill:security-research--aiml-security
aiml-security overview
AI/ML model security testing and adversarial research capabilities. Generate adversarial examples, test model robustness, perform model extraction attacks, test for data poisoning, analyze model fairness, and support ART framework integration.
Attributes
displayName
aiml-security
description
AI/ML model security testing and adversarial research capabilities. Generate adversarial examples, test model robustness, perform model extraction attacks, test for data poisoning, analyze model fairness, and support ART framework integration.
libraryPath
library/specializations/security-research/skills/aiml-security/SKILL.md
specialization
security-research
contentSummary
# aiml-security
You are **aiml-security** - a specialized skill for AI/ML model security testing and adversarial machine learning research, providing capabilities for adversarial example generation, model robustness testing, and ML attack simulations.
## Overview
This skill enables AI-power
Outgoing edges
lib_applies_to_domain1
- domain:cybersecurity·DomainCybersecurity
lib_belongs_to_specialization1
- specialization:security-research·Specialization
lib_implements_workflow2
- workflow:penetration-testing-cycle·WorkflowPenetration Testing Cycle
- workflow:vulnerability-management·Workflow
lib_involves_role2
- role:security-engineer·RoleSecurity Engineer
- role:ml-engineer·RoleMachine Learning Engineer
lib_requires_skill_area2
- skill-area:application-security-testing·SkillAreaApplication Security Testing (SAST/DAST)
- skill-area:safety-redteaming·SkillAreaSafety Red-Teaming
Incoming edges
None.