Lesson 3: Fashion That Confuses AI (IRL & Virtual)

Lesson 3: Fashion That Confuses AI (IRL & Virtual)

"How Clothes, Patterns & Virtual Fashion Mess with AI"


🔍 What’s the Problem?

AI-powered surveillance isn’t just about faces—it scans clothing, patterns, and accessories to track individuals across locations.

✔ AI identifies clothing styles, colors, and even logos to match people across images.
✔ Some fabrics disrupt AI by reflecting infrared (IR) light or displaying adversarial patterns.
Web3 & Online: AI in NFT avatars, metaverse spaces, and digital fashion can also track identity across platforms—even when your face isn’t visible.

🔹 Why does this matter?

  • Even if you change hairstyles or cover your face, AI may still recognize your clothes and accessories.
  • Fashion is both an identifier and a privacy tool. Some designers have already started making anti-surveillance clothing.
  • Web3 & Virtual: In metaverses, virtual events, and social apps, AI tracks avatars, colors, and design patterns to link users.

🤯 AI Privacy Fail Example

📌 AI Once Tracked a Protester by Their Hoodie

  • A demonstrator at a political rally covered their face with a mask but kept the same hoodie.
  • Surveillance AI matched them to previous footage based on hoodie texture & color.
  • Lesson? Changing just your face isn’t enough—clothing patterns matter too.
    a protestor holding up a sign that reads Black Lives Matter

🛠 How to Use Fashion to Confuse AI

1️⃣ The Adversarial Fashion Hack: Patterns That Break AI

✔ Some patterns “trick” AI into seeing fake faces or random noise.
How to mess with it:
Wear Hyperface or CV Dazzle patterns (fake facial features printed on fabric).
✅ Use irregular designs, chaotic prints, or disruptive art.
✅ Choose bold, asymmetric outfits that break AI’s pattern recognition.

⚠️ What NOT to do:
❌ Wearing the same trendy, mass-produced patterns—AI already knows them.

🔗 Example: AI-Resistant Clothing Brands & Experiments
👉 Hyperface by Adam Harvey

HyperFace by Adam Harvey for Hyphen-Labs. Model: Ashley Baccus-Clark. Photo: © Hyphen-Labs and Adam Harvey / hyphen-labs.com. 2017


2️⃣ Outfit Changes – How to Disrupt AI Matching

✔ AI links multiple images based on repeated outfits.
How to mess with it:
Switch up accessories & layering (a jacket over the same shirt disrupts matching).
Avoid easily recognizable prints & logos (Nike check marks = AI fingerprint).
Alternate between loose & fitted outfits (affects AI’s body tracking).

⚠️ What NOT to do:
❌ Wearing the same hoodie, hat, or bag every day—AI recognizes it instantly.


Teaching AI to Identify Clothes. This blog is a sequel to my first blog… |  by Agustinus Nalwan | Medium


3️⃣ Web3 & Online: AI Tracking in Virtual Fashion

✔ AI recognizes outfits and accessories in virtual spaces just like in real life.
How to mess with it:
✅ Use randomized textures or patterns in NFT avatars.
Try different outfits in VR spaces instead of using the same look.
Avoid "signature styles" that make your digital identity too consistent.


🔥 AI Myths: Does This Work?

🚫 “AI only tracks faces, not clothing.”Wrong! AI scans outfits just as much.
🚫 “Wearing black or camo makes me invisible.”Nope! AI reads textures, not colors.
“Disruptive patterns & frequent outfit changes work.”Yes! AI needs consistency to track people.


⚡ Quick Takeaways

AI scans clothing, logos, and textures—not just faces.
Adversarial fashion & randomized outfit changes disrupt AI tracking.
Web3 avatars & digital fashion can also be tracked—mix them up.


🛠 Try This Experiment

📌 Wear a patterned hoodie in two different locations—do Google Photos or smart cameras still tag you?
📌 Change your NFT avatar’s outfit across different Web3 platforms—do AI systems still link you?
💬 Drop your results in the Privacy Academy chat


🎭 What’s Next?

👉 Lesson 4: High-Contrast Face Paint & Stickers


👁 Final Thought:

AI tracking isn’t just about faces—it’s about clothing too. By tweaking patterns, materials, and even metaverse outfits, you control how much AI recognizes you.

Next up: How makeup & stickers can mess with AI tracking.



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