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Camera is a standard on-board sensor of modern mobile phones. It makes phototaking popular due to its convenience and high resolution. However, when userstake a photo of a scenery, a building or a target person, a stranger may alsobe unintentionally captured in the photo. Such photos expose the location andactivity of strangers, and hence may breach their privacy. In this paper, wepropose a cooperative mobile photographing scheme called PoliteCamera toprotect strangers' privacy. Through the cooperation between a photographer anda stranger, the stranger's face in a photo can be automatically blurred uponhis request when the photo is taken. Since multiple strangers nearby thephotographer might send out blurring requests but not all of them are in thephoto, an adapted balanced convolutional neural network (ABCNN) is proposed todetermine whether the requesting stranger is in the photo based on facialattributes. Evaluations demonstrate that the ABCNN can accurately predictfacial attributes and PoliteCamera can provide accurate privacy protection forstrangers.

PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing