Home▸Cybersecurity▸Laplace Noise Dial: Epsilon, Sensitivity and Query Accuracy

🔐 Laplace Noise Dial: Epsilon, Sensitivity and Query Accuracy

Release counts, sums and means from a synthetic commute dataset with Laplace noise of scale b = sensitivity / epsilon. See the privacy-utility trade-off and check the noise variance against 2b squared.

Cybersecurity2DModerate60 FPS📱 Mobile-adapted
privacy-general ↗ Open standalone
⚙ Under the hood

Release counts, sums and means from a synthetic commute dataset with Laplace noise of scale b = sensitivity / epsilon. See the privacy-utility trade-off and check the noise variance against 2b squared.

differential privacyLaplace mechanismepsilonsensitivityprivacy-utility tradeoffdata science

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

What did you find?

Add reproduction steps (optional)