A scanner darkly: Protecting user privacy from perceptual applications

Proceedings - IEEE Symposium on Security and Privacy

Volumn , Issue , 2013, Pages 349-363

  Jana, Suman ^a   Narayanan, Arvind ^b   Shmatikov, Vitaly ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

Computer vision; Privacy

Indexed keywords

COMPUTER VISION LIBRARY; DESIGN AND IMPLEMENTATIONS; HOUSEHOLD ROBOTS; OBJECT TRACKING; PRIVACY ENFORCEMENT; PRIVACY PROTECTION; PRIVACY RISKS; SECURITY SURVEILLANCE;

COMPUTER VISION; DATA PRIVACY; IMAGE RECOGNITION; PERSONAL COMPUTERS;

IMAGE PROCESSING;

EID: 84881254099     PISSN: 10816011     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SP.2013.31     Document Type: Conference Paper

References (26)

1. bc Command Manual. http://www.gnu.org/software/bc/manual/html-chapter/bc- toc.html.
2. R. V. Bruegge. Facial Recognition and Identification Initiatives. http://biometrics.org/bc2010/presentations/DOJ/vorder-bruegge-Facial- Recognition-and-Identification-Initiatives.pdf, 2010.
3. T. Bui, M. Poel, D. Heylen, and A. Nijholt. Automatic face morphing for transferring facial animation. In CGIM, 2003.
4. M. R. Calo. People can be so fake: A new dimension to privacy and technology scholarship. Penn St. L. Rev., 114:809, 2009.
5. A. Chan, Z. Liang, and N. Vasconcelos. Privacy preserving crowd monitoring: Counting people without people models or tracking. In CVPR, 2008.
6. L. D'Antoni, A. Dunn, S. Jana, T. Kohno, B. Livshits, D. Molnar, A. Moshchuk, E. Ofek, F. Roesner, S. Saponas, M. Veanes, and H. Wang. Operating system support for augmented reality applications. Technical Report MSR-TR-2013-12, Microsoft Research.
7. T. Denning, C. Matuszek, K. Koscher, J. Smith, and T. Kohno. A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons. In Ubicomp, 2009.
8. F. Dufaux and T. Ebrahimi. Scrambling for video surveillance with privacy. In CVPRW, 2006.
9. C. Dwork. Differential privacy. In ICALP, 2006.
10. C. Dwork. A firm foundation for private data analysis. In CACM, 2011.
11. R. Gross, E. Airoldi, B. Malin, and L. Sweeney. Integrating utility into face de-identification. In PET, 2006.
12. R. Gross, L. Sweeney, F. De la Torre, and S. Baker. Model-based face de-identification. In CVPRW, 2006.
13. HighGUI: High-level GUI and Media I/O. http://opencv.willowgarage.com/ documentation/python/highgui-high-level-gui-and-media-i-o.html.
14. J. Howell and S. Schechter. What you see is what they get: Protecting users from unwanted use of microphones, camera, and other sensors. In W2SP, 2010.
15. R. Hummel, B. Kimia, and S. Zucker. Deblurring gaussian blur. CVGI, 1987.
16. S. Jana, D. Molnar, A. Moshchuk, A. Dunn, B. Livshits, H. Wang, and E. Ofek. Enabling fine-grained permissions for augmented reality applications with recognizers. Technical Report MSR-TR-2013-11, Microsoft Research.
17. D. McCullagh. Call it Super Bowl Face Scan I. http://www.wired.com/ politics/law/news/2001/02/41571, 2001.
18. F. McSherry. Privacy integrated queries: an extensible platform for privacy-preserving data analysis. In SIGMOD, 2009.
19. E. Newton, L. Sweeney, and B. Malin. Preserving privacy by de-identifying face images. TKDE, 2005.
20. OpenCV Wiki. http://opencv.willowgarage.com/wiki/.
21. M. Osadchy, B. Pinkas, A. Jarrous, and B. Moskovich. SCiFI - A System for Secure Face Identification. In S&P, 2010.
22. F. Samaria and A. Harter. Parameterisation of a stochastic model for human face identification. In Applications of Computer Vision, 1994.
23. A. Senior, S. Pankanti, A. Hampapur, L. Brown, Y. Tian, and A. Ekin. Blinkering Surveillance: Enabling Video Privacy through Computer Vision. IBM Research Report, 2003.
24. Google Maps Street View - Privacy. http://maps.google.com/help/maps/ streetview/privacy.html.
25. R. Templeman, Z. Rahman, D. Crandall, and A. Kapadia. PlaceRaider: Virtual theft in physical spaces with smart-phones. In NDSS, 2013.
26. M. Turk and A. Pentland. Eigenfaces for recognition. In CVPR, 1991.