Adversarial Fashion Confronts Surveillance Norms

IEEE Spectrum · 1 month ago · 19

Adversarial fashion and related projects have been developed to disrupt AI object-detection systems used in surveillance, instead of relying on public backlash alone. Swearingen trained a reinforcement learning algorithm that generated adversarial patterns tested against 11 object detection models, including face and person detectors. The push is leading to purchasable garments and ongoing experimentation, but real-world coverage limits and future retraining by operators may reduce how reliably the clothing can evade detection.