SoylentNews
SoylentNews is people
https://soylentnews.org/

Title    A New Clothing Line Confuses Automated License Plate Readers
Date    Sunday August 18 2019, @03:15PM
Author    Fnord666
Topic   
from the GIGO dept.
https://soylentnews.org/article.pl?sid=19/08/18/0439234

Arthur T Knackerbracket has found the following story:

Garments from Adversarial Fashion feed junk data into surveillance cameras, in an effort to make their databases less effective.

The news: Hacker and designer Kate Rose unveiled the new range of clothing at the DefCon cybersecurity conference in Las Vegas. In a talk, she explained the that hoodies, shirts, dresses, and skirts trigger automated license plate readers (ALPRs) to inject useless data into systems used to track civilians.

False tags: The license-plate-like designs on a garment are picked up and recorded as vehicles by readers, which frequently misclassify images like fences as license plates anyway, according to Rose (pictured above modeling one of her dresses). The idea is that feeding more junk data into the systems will make them less effective at tracking people and more expensive to deploy.

[...] Fashion fights back: Though it's the first to target ALPRs, this isn't the first fashion project aimed at fighting back against surveillance. Researchers have come up with adversarial images on clothing aimed at bamboozling AI, makeup that lets you hide your face from recognition systems, and even a hat that can trick systems into thinking you're Moby.


Original Submission

Links

  1. "Arthur T Knackerbracket" - https://soylentnews.org/~Arthur+T+Knackerbracket
  2. "following story" - https://www.technologyreview.com/f/614175/a-new-clothing-line-confuses-automated-license-plate-readers/
  3. "Adversarial Fashion" - https://adversarialfashion.com/
  4. "Original Submission" - https://soylentnews.org/submit.pl?op=viewsub&subid=35710

© Copyright 2022 - SoylentNews, All Rights Reserved

printed from SoylentNews, A New Clothing Line Confuses Automated License Plate Readers on 2022-01-23 15:00:56