نقشه راه AI Red Teaming

Learn to become a red teaming expert in AI

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Black Box TestingAI & Data ScientistVisit the following relevant tracks to keep learningEthical ConsiderationsPrompt HackingCTF ChallengesAdversarial TrainingIndirectGenerative ModelsMonitoring Solutionslearnprompting.orgDirectContinuous TestingRobust Model DesignContinuous MonitoringVulnerability AssessmentLarge Language Models› AI and Data Scientist Roadmap› AI Engineer Roadmap› Data Analyst Roadmap› MLOps RoadmapInsecure DeserializationDefense StrategiesData AnalystReporting ToolsCustom Testing ScriptsTesting PlatformsRed Team SimulationsUnauthorized AccessJailbreak TechniquesFoundational KnowledgeBenchmark DatasetsSpecial thanks to "Learn Prompting"for their help in making this roadmapWhy Red Team AI Systems?Agentic AI SecurityCountermeasuresEmerging ThreatsPrompt EngineeringIntroductionIndustry CredentialsModel InversionAI Red TeamingRole of Red TeamsAuthenticationSafety Filter BypassesModel ExtractionAuthenticationResponsible DisclosureFuture DirectionsRemote Code ExecutionCertificationsModel ManipulationConferencesAutomated vs ManualLab EnvironmentsWhite Box TestingRisk ManagementData PoisoningCommunity EngagementInfrastructure SecuritySupervised LearningTesting MethodologiesModel Weight StealingAI Security FundamentalsThreat Modelingkaar2.irReal-world ApplicationsNeural NetworksSpecialized CoursesAI EngineerForumsAdvanced TechniquesPractical ExperienceAPI ProtectionModel VulnerabilitiesAI / ML FundamentalsCode InjectionResearch OpportunitiesIndustry StandardsCybsecurity PrinciplesConfidentiality, Integrity,AvailabilityAdversarial ExamplesLLM Security TestingPrompt InjectionReinforcement LearningFind the detailed version of thisroadmap and other similar roadmapsSystem SecurityProfessional DevelopmentTools and FrameworksUnsupervised LearningResearch GroupsGrey Box Testing