The rapid adoption of facial recognition (FR) technology by both government and commercial entities in recent years has raised concerns about civil liberties and privacy. In response, a broad suite of so-called "anti-facial recognition" (AFR) tools has been developed to help users avoid unwanted facial recognition. The set of AFR tools proposed in the last few years is wide-ranging and rapidly evolving, necessitating a step back to consider the broader design space of AFR systems and long-term challenges. This paper aims to fill that gap and provides the first comprehensive analysis of the AFR research landscape. Using the operational stages of FR systems as a starting point, we create a systematic framework for analyzing the benefits and tradeoffs of different AFR approaches. We then consider both technical and social challenges facing AFR tools and propose directions for future research in this field.
翻译:近年来,政府和商业实体迅速采用面部识别技术,引起了人们对公民自由和隐私的担忧。作为回应,开发了一套广泛的所谓“反面识别”工具,帮助用户避免不必要的面部识别。过去几年提出的一套反面识别工具范围广泛,发展迅速,需要退后一步来考虑反面识别系统更广泛的设计空间和长期挑战。本文件旨在填补这一空白,并首次全面分析反面识别研究面貌。我们利用反面识别系统的运作阶段作为起点,为分析不同反面识别方法的好处和取舍建立一个系统框架。然后,我们考虑反面识别工具面临的技术和社会挑战,并提出该领域未来研究的方向。