‘Adversarial clothing’: are garments designed to confuse facial recognition systems about to go mainstream?

Models wearing garments created by Cap_able, which which markets them as making AI recognition more difficult. Photograph: PR View image in fullscreen Models wearing garments created by Cap_able, which which markets them as making AI recognition more difficult. Photograph: PR ‘Adversarial clothing’: are garments designed to confuse facial recognition systems about to go mainstream? Designers say that as well as offering a degree of protection from surveillance, their clothes make a powerful fashion statement about the importance of privacy As facial recognition technology is rolled out across Britain’s public spaces, a new generation of designers say privacy could be the next big fashion trend. Companies have started incorporating “adversarial patterns” in their garments – carefully designed arrangements of shapes, colours and repeated motifs said to exploit weaknesses in some computer vision systems. The designers say advances in computing have made it easier to incorporate such patterns into commercially viable garments. Experts caution that the effectiveness of the patterns depends on the surveillance system and the conditions in which it is used, but Nick Tidball, the co-founder of the clothing brand Vollebak, thinks “adversarial clothing” could be on the cusp of going mainstream. “Anti-surveillance feelings are so widespread that all it would take is for a single celebrity to wear one of these garments, currently popular in the countercultural fashion world, to a high-profile event for it to take off,” he said. View image in fullscreen Models wearing designs by by Cap_able, which markets them as making AI recognition more difficult. Photograph: PR “So-called ‘adversarial clothing’ wins on many levels. As well as the practicality of protection, it’s fashionable and fun, it makes a powerful, public statement that many are in agreement with, it spreads even more awareness about the importance of privacy and it helps encourage public debate.” Unlike traditional CCTV, modern computer vision systems can identify faces, follow individuals across cameras and search footage at scale. Recent advances in generative AI have made this type of automated identification cheaper and more widely available to police, retailers and private businesses, an expansion recently warned against by Britain’s biometrics watchdogs , which have called for more laws and a regulator to clamp down on misuse. Evidence of misuse and that black and Asian people are more likely to be incorrectly identified than white people has led to increasing public concern. A recent poll showed almost 60% of people believed facial recognition was “another step towards turning the UK into a surveillance society”. Dr Jennifer Bell, a senior lecturer specialising in creative AI, fashion and digital culture at Nottingham School of Art & Design, said clothing with anti-facial recognition designs was increasingly available at high street prices and was being marketed to a wide demographic. “That g