Differentially private Kalman filtering

2012 50th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2012

Volumn , Issue , 2012, Pages 1618-1625

  Le Ny, Jerome ^a   Pappas, George J ^b  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENTIAL PRIVACIES; EMERGING APPLICATIONS; ESTIMATION PERFORMANCE; FILTERING PROBLEMS; INTELLIGENT TRANSPORTATION SYSTEMS; PERSONAL INFORMATION; PRIVACY PRESERVING; TRAFFIC MONITORING SYSTEMS;

INTELLIGENT SYSTEMS; MONITORING;

COMMUNICATION;

EID: 84875719669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Allerton.2012.6483414     Document Type: Conference Paper

References (19)

1. G. W. Hart, "Nonintrusive appliance load monitoring," Proceedings of the IEEE, vol. 80, no. 12, pp. 1870-1891, December 1992.
2. B. Hoh, T. Iwuchukwu, Q. Jacobson, M. Gruteser, A. Bayen, J.-C. Herrera, R. Herring, D. Work, M. Annavaram, and J. Ban, "Enhancing privacy and accuracy in probe vehicle based traffic monitoring via virtual trip lines," IEEE Transactions on Mobile Computing, vol. 11, no. 5, pp. 849-864, May 2012.
3. J. A. Calandrino, A. Kilzer, A. Narayanan, E. W. Felten, and V. Shmatikov, ""you might also like": Privacy risks of collaborative filtering," in IEEE Symposium on Security and Privacy, Berkeley, CA, May 2011.
4. J. Le Ny and G. J. Pappas, "Differentially private filtering," in Proceedings of the Conference on Decision and Control, Maui, HI, December 2012.
5. C. Dwork, F. McSherry, K. Nissim, and A. Smith, "Calibrating noise to sensitivity in private data analysis," in Proceedings of the Third Theory of Cryptography Conference, 2006, pp. 265-284. (Pubitemid 43979853)
6. S. P. Kasiviswanathan and A. Smith, "A note on differential privacy: Defining resistance to arbitrary side information," March 2008. [Online]. Available: http://arxiv.org/abs/0803.3946
7. D. Varodayan and A. Khisti, "Smart meter privacy using a rechargeable battery: minimizing the rate of information leakage," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Prag, Czech Republic, 2011.
8. L. Sankar, S. R. Rajagopalan, and H. V. Poor, "A theory of privacy and utility in databases," Princeton University, Tech. Rep., February 2011.
9. J. Le Ny and G. J. Pappas, "Differentially private filtering," available at http://arxiv.org/abs/1207.4305.
10. C. Dwork, "Differential privacy," in Proceedings of the 33rd International Colloquium on Automata, Languages and Programming (ICALP), ser. Lecture Notes in Computer Science, vol. 4052. Springer-Verlag, 2006.
11. C. Dwork, K. Kenthapadi, F. McSherry, I. M. M. Naor, and Naor, "Our data, ourselves: Privacy via distributed noise generation," Advances in Cryptology-EUROCRYPT 2006, pp. 486-503, 2006. (Pubitemid 44072257)
12. A. van der Schaft, L2-gain and passivity techniques in nonlinear control. Springer Verlag, 2000.
13. E. Shi, T.-H. H. Chan, E. Rieffel, R. Chow, and D. Song, "Privacy-preserving aggregation of time-series data," in Proceedings of 18th Annual Network and Distributed System Security Symposium (NDSS 2011), February 2011.
14. B. D. O. Anderson and J. B. Moore, Optimal Filtering. Dover, 2005.
15. C. Scherer, P. Gahinet, and M. Chilali, "Multiobjective outputfeedback control via LMI optimization," IEEE Transactions on Automatic Control, vol. 42, no. 7, pp. 896-911, July 1997. (Pubitemid 127826249)
16. X. Sun, L. Munoz, and R. Horowitz, "Mixture Kalman filter based highway congestion mode and vehicle density estimator and its application," in Proceedings of the American Control Conference, July 2004, pp. 2098-2103.
17. M. Gruteser and D. Grunwald, "Anonymous usage of locationbased services through spatial and temporal cloaking," in ACM MobiSys, 2003.
18. R. Shokri, J. Freudiger, M. Jadliwala, and J.-P. Hubaux, "A distortion-based metric for location privacy," in Proceedings of the CCS Workshop on Privacy in the Electronic Society (WPES), 2009.
19. V. Rastogi and S. Nath, "Differentially private aggregation of distributed time-series with transformation and encryption," in Proceedings of the ACM Conference on Management of Data (SIGMOD), Indianapolis, IN, June 2010.