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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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Trusted-AI

Trusted-AI • individual

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5,913

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Forks

1,305

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0/100

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Created

Mar 15, 2018

Project creation date

README Summary

The Adversarial Robustness Toolbox (ART) is a comprehensive Python library designed to enhance machine learning security against adversarial attacks. It provides tools for both offensive (red team) and defensive (blue team) security research, covering evasion attacks, data poisoning, model extraction, and privacy inference attacks. The library supports multiple ML frameworks and offers standardized implementations of state-of-the-art adversarial techniques.

AI Dev Skills

Unmapped

Tags

Adversarial Machine LearningModel Security TestingAdversarial Attack GenerationAdversarial Defense MechanismsData Poisoning DetectionModel Extraction PreventionPrivacy-Preserving Machine LearningMembership Inference AttacksModel Inversion AttacksEvasion Attack DefenseRobustness EvaluationAI Red Team OperationsAI Blue Team OperationsRobust AI SystemsFinancial ServicesRobustness BenchmarkingAdversarial Training ImplementationPrivacy-Preserving AIResearch EnvironmentGovernmentAutonomous VehiclesAI SecurityTabularResponsible AIAudioModel Vulnerability AssessmentPrivacy Attack SimulationAI SafetyCloudSelf-hostedImageOn-premiseVideoTextSecurity Testing of ML ModelsHealthcareCybersecurityCompliance Testing for AI SystemsAI System Penetration TestingModel HardeningDefensePython

Taxonomy

AI Trends

AI Safety Responsible AI AI Security Privacy-Preserving AI Robust AI Systems

Deployment Context

Self-hosted Cloud On-premise Research Environment

Industries

Cybersecurity Financial Services Healthcare Defense Government Autonomous Vehicles

Modalities

Image Text Audio Video Tabular

Skill Areas

Use Cases

Model Vulnerability Assessment Adversarial Training Implementation Security Testing of ML Models Robustness Benchmarking Privacy Attack Simulation Model Hardening AI System Penetration Testing Compliance Testing for AI Systems

Recent Activity

Updated 4 months ago

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Quality

production

Quality: high
Maturity: production

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created: Mar 15, 2018
Forked: Mar 21, 2026
Your last push: 4 months ago
Upstream last push: 4 months ago
Tracked since: Dec 12, 2025

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