The Adversarial Robustness Toolbox offers implementations of evasion, poisoning, extraction, and inference attacks alongside corresponding defenses. It serves both red teams seeking to identify ML vulnerabilities and blue teams working to harden models against adversarial threats. The library integrates with popular ML frameworks to assess and improve the security of deployed AI systems.