Library/ai-exploits
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protectai/ai-exploits

ai-exploits

A collection of real world AI/ML exploits for responsibly disclosed vulnerabilities

Builder

protectai

protectai

protectai • individual

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1,703

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Forks

155

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Created

Oct 25, 2023

Project creation date

README Summary

A curated collection of real-world AI and machine learning exploits that demonstrate vulnerabilities found through responsible disclosure processes. The repository serves as an educational resource for security researchers and ML practitioners to understand common attack vectors against AI systems.

AI Dev Skills

Unmapped

AI SecurityMachine Learning SecurityAdversarial Machine LearningModel Vulnerability AssessmentAI Red TeamingSecurity ResearchResponsible Disclosure

Tags

AI SecurityMachine Learning SecurityAdversarial Machine LearningModel Vulnerability AssessmentAI Red TeamingSecurity ResearchResponsible DisclosureMultimodalCloudSelf-hostedSecurity Vulnerability TestingCybersecurityAI System Penetration TestingCodeAI SafetySecurity ConsultingOn-premiseResponsible AIMachine Learning Security AssessmentAI/ML InfrastructureAI Red Team OperationsTextSecurity Research and EducationPython

Taxonomy

Recent Activity

Updated 1 years ago

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Quality

research
Quality
medium
Maturity
research

Categories

Dev Tools & AutomationPrimaryLearning ResourcesML Platform & InfrastructureSafety & AlignmentMultimodal AISearch & KnowledgeEvals & BenchmarkingOther AI / MLFoundation Models

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Oct 25, 2023
Forked
Mar 21, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Oct 23, 2024

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