Perturb

About Perturb

Perturb AI is a decentralized adversarial robustness network designed to identify and mitigate vulnerabilities in AI models by simulating real-world adversarial attacks. Built on Bittensor, it leverages a global network of incentivized miners to continuously probe AI models for weaknesses using imperceptible input perturbations. The network produces commercially valuable outputs such as adversarial training datasets and on-chain model robustness certificates, helping organizations harden their AI systems against evolving threats. Perturb AI supports automated, scalable, and continuous robustness evaluation across various AI domains, providing actionable insights and compliance-ready proof of adversarial testing.