Antisurveillance Fashion Privacy Review
We tested the top products in antisurveillance fashion on the market. Products tested include adversarial clothing providers AntiAI Clothing, Yelo Pomelo, Cap_able Design, Oogaly, and RiotAssembly. We also tested glasses from Reflectacles, which are designed to defeat facial recognition systems by blocking, absorbing, or reflecting the infrared light some cameras use for facial mapping.
I'm a writer, artist, and filmmaker based in Paris, France. She has worked for more than a decade as a full-time reporter, including five years as a technology reporter at the Guardian.
What You Should Know
- Should I trust their default settings?
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Yes. For US-based customers, there are a surprising amount of anti-surveillance products on Etsy. Yelo Pomelo, for example, said it has made 3,400 sales in the last six years on the site— though not all of its products are specifically for the purpose of scrambling recognition software.
Using an Imou security camera, one of the most popular consumer security camera options in Europe, we set up its accompanying application to send me notifications when a human is detected, and tested it by walking in front of the camera, first unprotected from the algorithmic detection and again wearing each product.
The Good and The Bad
- The Good
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All four of the products from Yelo Pomelo and all garments from AntiAI Clothing passed the off-the-shelf surveillance camera test: I walked in front of the viewfinder undetected. The Reflectacles glasses were not able to thwart the “human detected” phone alert from my AI camera, but did trick my iPhone facial recognition system and rendered it useless.
A colleague tried them on his facial-detection-enabled log in on his Windows computer and experienced the same result. While not all anti-AI fashion will be able to thwart every computer program, Cap_able tests its products with object detection algorithm YOLO (You Only Look Once) as it is widely considered to be the fastest and most accurate in detecting different objects.
Founder Rachele Didero said the company prioritizes confusing technology that gathers biometric data in real time as it is the "most harmful for human rights."
- The Bad
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I used a computer program trained using Google’s Teachable Machine, a web-based machine learning model trained to detect poses from human bodies, which was loaded into computer program TouchDesigner for webcam-based interaction. While the garments easily evaded AI detection from the Imou surveillance camera, they were unable to thwart the machine learning based on human pose estimation. Experts have noted that abilities of anti-surveillance clothing can vary by computer system and lose effectiveness over time as algorithms evolve.
With products ranging from an $8 medical mask from AntiAI clothing to $770 for Cap_able’s priciest garment, the financial accessibility of fighting for privacy varies widely. And in our era of confusing tariffs and slow mail services, getting all these products to the Mozilla offices in Paris posed a bit of a challenge — underscoring potential accessibility concerns when it comes to consumer resistance to facial recognition.
The Bottom Line
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Critics of adversarial fashion say because the surveillance state is so complex and wide-reaching, anti-surveillance fashion is more effective at raising awareness than actually changing the status quo. Thwarting AI-enabled camera detection won’t stop the widespread collection of your data online, for example. When wearing antisurveillance fashion, it’s best to be aware of these drawbacks. Advocates for anti-surveillance fashion cite awareness as a central component of their passion for the products.