ml-security
CommunitySecure ML systems from threat to deployment.
Software Engineering#robustness#prompt-injection#secure-deployment#red-teaming#ml-security#adversarial-ml
Authorinfantesromeroadrian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Complete guidance to identify, assess, and mitigate threats in ML systems, covering adversarial attacks, data poisoning, prompt injection, LLM red teaming, and secure deployment practices.
Core Features & Use Cases
- Threat modeling and risk assessment for ML pipelines.
- Adversarial attack simulations, defenses, and red-teaming workflows.
- Guardrails, output sanitization, privacy protections, and secure deployment practices.
Quick Start
Review the ML security guide and implement a basic threat model in a staging environment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ml-security Download link: https://github.com/infantesromeroadrian/arca-claude-code/archive/main.zip#ml-security Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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