PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing

Camera is a standard on-board sensor of modern mobile phones. It makes photo taking popular due to its convenience and high resolution. However, when users take a photo of a scenery, a building or a target person, a stranger may also be unintentionally captured in the photo. Such photos expose the location and activity of strangers, and hence may breach their privacy. In this paper, we propose a cooperative mobile photographing scheme called PoliteCamera to protect strangers' privacy. Through the cooperation between a photographer and a stranger, the stranger's face in a photo can be automatically blurred upon his request when the photo is taken. Since multiple strangers nearby the photographer might send out blurring requests but not all of them are in the photo, an adapted balanced convolutional neural network (ABCNN) is proposed to determine whether the requesting stranger is in the photo based on facial attributes. Evaluations demonstrate that the ABCNN can accurately predict facial attributes and PoliteCamera can provide accurate privacy protection for strangers.

[1]  Helen J. Wang,et al.  Enabling Fine-Grained Permissions for Augmented Reality Applications with Recognizers , 2013, USENIX Security Symposium.

[2]  Matthai Philipose,et al.  Courteous glass , 2014, UbiComp Adjunct.

[3]  Zheng Zhang,et al.  MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems , 2015, ArXiv.

[4]  Azriel Rosenfeld,et al.  Computer Vision , 1988, Adv. Comput..

[5]  Donghoon Lee,et al.  Face attribute classification using attribute-aware correlation map and gated convolutional neural networks , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

[6]  He Wang,et al.  Visually Fingerprinting Humans without Face Recognition , 2015, MobiSys.

[7]  Xiaogang Wang,et al.  Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).

[8]  Mehrbakhsh Nilashi,et al.  Collaborative filtering recommender systems , 2013 .

[9]  Yin Zhang,et al.  Secure friend discovery in mobile social networks , 2011, 2011 Proceedings IEEE INFOCOM.

[10]  David J. Crandall,et al.  Reactive security: responding to visual stimuli from wearable cameras , 2014, UbiComp Adjunct.

[11]  Shree K. Nayar,et al.  FaceTracer: A Search Engine for Large Collections of Images with Faces , 2008, ECCV.

[12]  Qinghua Li,et al.  PrivacyCamera: Cooperative Privacy-Aware Photographing with Mobile Phones , 2016, 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[13]  Yunhao Liu,et al.  Privacy-friendly photo capturing and sharing system , 2016, UbiComp.

[14]  Linda G. Shapiro,et al.  Computer Vision , 2001 .

[15]  Marwan Mattar,et al.  Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .

[16]  Xiaoou Tang,et al.  Learning Social Relation Traits from Face Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[17]  Rajeev Gandhi,et al.  Short paper: CHIPS: content-based heuristics for improving photo privacy for smartphones , 2014, WiSec '14.

[18]  Vitaly Shmatikov,et al.  A Scanner Darkly: Protecting User Privacy from Perceptual Applications , 2013, 2013 IEEE Symposium on Security and Privacy.

[19]  Deirdre K. Mulligan,et al.  Respectful cameras: detecting visual markers in real-time to address privacy concerns , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  David J. Crandall,et al.  PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces , 2014, NDSS.

[21]  U. Hengartner,et al.  NotiSense : An Urban Sensing Notification System To Improve Bystander Privacy , 2011 .

[22]  Xiang-Yang Li,et al.  Privacy.tag: privacy concern expressed and respected , 2014, SenSys.

[23]  Yang Guo,et al.  A survey on peer-to-peer video streaming systems , 2008, Peer-to-Peer Netw. Appl..

[24]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[25]  Ashwin Machanavajjhala,et al.  MarkIt: privacy markers for protecting visual secrets , 2014, UbiComp Adjunct.

[26]  Jin H. Im,et al.  Privacy , 2002, Encyclopedia of Information Systems.