Anti facial-recognition

How to make your profile picture harder for facial-recognition systems to match

You cannot stop every form of copying on the public web, but you can reduce how easy it is for facial-recognition models to use your published photo as a reliable biometric reference.

Use case

Public profile images are easy to copy, archive, and reuse outside the site where you posted them.

Use case

Facial-recognition pipelines care about feature stability, not whether the image looks normal to people.

Use case

Adversarial photo protection is one of the few practical upstream defenses before distribution.

What CloakBioGuard actually helps with

Reduce how easy it is for facial-recognition systems to match a public profile image.
Preserve a normal-looking photo for people while changing what machine vision systems infer from it.
Give you a low-friction workflow to scan exposure first and protect the exact image you plan to publish.

FAQ

Frequently asked questions

Can any public profile picture be scraped?

In practice, anything rendered publicly on the web can often be copied or indexed somehow. The better defense is reducing the biometric value of the image before publication.

Does this stop every facial-recognition model?

No honest product can guarantee that. The goal is to make the image harder to match across common model behavior, not to promise universal immunity.

Why not just avoid using a profile photo?

Many people need a public-facing photo for work, credibility, or conversion. Hardening the image is often more realistic than disappearing.