Perturb AI
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Decentralized AI Robustness · Built on Bittensor

Harden Your AI
Against Invisible Attacks

Even the most advanced AI models can be fooled. Perturb helps you discover vulnerabilities before attackers do.

The Threat

AI Models Are More Fragile Than You Think

A single pixel changed. A whisper of noise. That's all it takes to make state-of-the-art models confidently misclassify, leak data, or behave unpredictably in production.

Adversarial perturbations are invisible to humans but catastrophic to neural networks. Perturb makes these attacks visible before they reach your users.

Original
Panda · 57.7%
Perturbed
Gibbon · 99.3%
Adversarial attack
How it works

Three steps to resilient AI

01

Submit Your Model

Upload your AI model or connect via API. Define your evaluation surface and threat profile.

02

Global Miners Attack

Hundreds of incentivized miners race to discover adversarial examples that break your model.

03

Harden & Deploy

Receive a robustness report, attack vectors, and retraining datasets to strengthen your model.

Capabilities

A new layer of defense

Everything you need to evaluate, harden, and ship AI you can trust.

Decentralized Network

No single point of failure. A global subnet of miners continuously probes your models.

Incentivized Attackers

Bittensor rewards aligned with finding real, exploitable vulnerabilities — not synthetic ones.

Continuous Hardening

Your models are evaluated 24/7 as new attack techniques emerge across the network.

Automated at Scale

From a single classifier to massive multi-modal LLMs — Perturb scales with your stack.

Real-World Simulation

Black-box, white-box, and transfer attacks that mirror how adversaries operate in production.

Actionable Insights

Robustness scores, vulnerability heatmaps, and hardening datasets ready for retraining.

The Platform

Mission control for AI robustness

A single dashboard to monitor attacks, scores, and hardening progress across every model you ship.

Perturb dashboard
Live attack results visualization
Quantitative model robustness score
Per-class vulnerability breakdowns
Exportable reports & retraining sets
The Team

Built by researchers & builders

"We are a team of AI engineers and researchers building the future of secure machine learning."

EV

Dr. Elena Vasquez

AI Research Lead

MC

Marcus Chen

Blockchain Engineer

PA

Priya Anand

Product Lead

JB

Jonas Becker

ML Security Engineer

Get in touch

Let's talk security

Whether you're shipping a model to production or running a research lab, we'd love to hear from you.

Stay updated

Get research, drops, and security insights monthly.

Secure Your AI
Before It's Too Late

Join the network hardening the next generation of AI systems.

Get Started