Documentation

(Internal) Ghostmaxxing International Copy

Use this page when writing compact English copy for public pages, metadata, social cards, talks, listings, or partner descriptions.

Positioning

Ghostmaxxing is a public lab for testing face-recognition camouflage. It makes parts of the biometric pipeline visible enough to inspect, compare, and discuss without promising anonymity or protection.

The international surface should feel:

  • activist, but not generic advocacy
  • exhibition-like, but not decorative-only
  • technically grounded, but not academic-first
  • public-facing, but not simplified into false certainty
  • playful enough to be memorable, but never unserious about risk

Primary Line

A public lab for testing face-recognition camouflage.

Use this as the short payoff in headers, metadata, social cards, and partner references.

Short Boilerplate

Ghostmaxxing is a browser-based public lab for testing face-recognition camouflage. It lets people compare local recognition behavior, build modular AR Ghostyles, explore the history of anti-biometric appearance design, and report real-world deployments of facial recognition.

Medium Boilerplate

Ghostmaxxing helps people test how visual interventions affect a local face-recognition pipeline in the browser. It combines webcam-based experiments, modular AR Ghostyles, a curated reference archive, and a reporting node for documenting where facial recognition appears in public space.

Landing Copy

Disrupt the read.

Ghostmaxxing tests face-recognition camouflage through browser-based overlays and local experiments. Explore the archive, build a Ghostyle, or report where facial recognition appears in public space.

Lab Copy

Test visual interventions against a local browser pipeline. Record a baseline, apply a Ghostyle, and compare how detection and matching behavior changes under your own camera, light, pose, and model conditions.

References Copy

The archive maps artistic, technical, and activist work around face obfuscation, adversarial makeup, and physical-world attacks on computer vision systems. Each entry explains what was demonstrated, what remains limited, and whether the idea can be retested in Ghostmaxxing.

Report Copy

Seen facial recognition in public space? Help document where it appears, who operates it, what technology is used, and what safeguards or abuses are present. Share only what is safe for you to share.

Safety Copy

Ghostmaxxing is a research and education tool. A browser result can show that a visual intervention affected one local pipeline; it cannot prove protection against deployed facial recognition systems.

Avoid

  • Become invisible.
  • Beat face recognition.
  • Protect yourself from surveillance.
  • Hack your face.
  • Guaranteed anti-surveillance makeup.
  • Anonymous by design.
  • Fool every camera.