Clothing designer tricks AI-powered face recognition into thinking you're an animal
adversarial-patchesfacial-recognitionprivacycomputer-visionyolo
Abstraction: Adversarial knitted clothing patterns evade real-time facial recognition
Key points:
- Milan startup Cap_able released "Manifesto" collection using knitted patterns that cause facial recognition cameras to detect animals (dogs, zebras, giraffes) instead of humans
- Technology uses adversarial patches — images that cause recognition systems to ignore real subjects and detect a specified decoy item
- Specifically targets YOLO ("you only look once"), an open-source real-time object detection neural network considered the fastest in existence
- Cameras in public places do not recognize wearers as people, preventing biometric data collection
- Founded by 2019 FIT graduate Rachele Didero; prices range from $310 (crew) to $460 (hoodie)
- Motivated by privacy rights concerns around misuse of biometric recognition cameras in public surveillance
Connections: Cap Able · Yolo · Adversarial Patches · Facial Recognition · Computer Vision
Source: https://nypost.com/2023/01/25/clothing-designer-tricks-ai-powered-face-recognition/