As virtual and physical identity grow increasingly intertwined, the importance of privacy and security in the online sphere becomes paramount. In recent years, multiple news stories have emerged of private companies scraping web content and doing research with or selling the data. Images uploaded online can be scraped without users' consent or knowledge. Users of social media platforms whose images are scraped may be at risk of being identified in other uploaded images or in real-world identification situations. This paper investigates how simple, accessible image manipulation techniques affect the accuracy of facial recognition software in identifying an individual's various face images based on one unique image.

翻译：随着虚拟身份与现实身份愈发紧密交织，在线环境中的隐私与安全重要性日益凸显。近年来，多家私营公司被曝出抓取网络内容，并利用或销售所获数据进行研究等新闻事件。用户上传至网络的图像可能在未经其知情或同意的情况下遭抓取。社交媒体平台用户若图像被抓取，则可能面临在其他已上传图像或现实身份识别场景中被识别的风险。本文探究了简便易行的图像处理技术如何影响人脸识别软件基于单张独有图像识别个体多张面部图像的准确性。