NDLI: Differentially Private Filtering

Content Provider	IEEE Xplore Digital Library
Author	Le Ny, J. Pappas, G.J.
Copyright Year	1963
Abstract	Emerging systems such as smart grids or intelligent transportation systems often require end-user applications to continuously send information to external data aggregators performing monitoring or control tasks. This can result in an undesirable loss of privacy for the users in exchange of the benefits provided by the application. Motivated by this trend, this paper introduces privacy concerns in a system theoretic context, and addresses the problem of releasing filtered signals that respect the privacy of the user data streams. Our approach relies on a formal notion of privacy from the database literature, called differential privacy, which provides strong privacy guarantees against adversaries with arbitrary side information. Methods are developed to approximate a given filter by a differentially private version, so that the distortion introduced by the privacy mechanism is minimized. Two specific scenarios are considered. First, the notion of differential privacy is extended to dynamic systems with many participants contributing independent input signals. Kalman filtering is also discussed in this context, when a released output signal must preserve differential privacy for the measured signals or state trajectories of the individual participants. Second, differentially private mechanisms are described to approximate stable filters when participants contribute to a single event stream, extending previous work on differential privacy under continual observation.
Sponsorship	IEEE Control Systems Society
Starting Page	341
Ending Page	354
Page Count	14
File Size	3699278
File Format	PDF
ISSN	00189286
Volume Number	59
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Privacy Data privacy Databases Vectors Standards Monitoring Context privacy Estimation filtering Kalman filtering
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

H-Infinity Kalman Estimation for Rectangular Descriptor Systems With Unknown Inputs

Reduced-Order Quadratic Kalman-Like Filtering of Non-Gaussian Systems

On computer requirement reductions in linear-discrete system state estimation

A note on minimax estimation and Kalman filtering

Comments on On-line identification of linear dynamic systems with applications to Kalman filtering

Recursive Update Filtering for Nonlinear Estimation

New square-root algorithms for Kalman filtering

Robust Finite-Horizon Kalman Filtering for Uncertain Discrete-Time Systems

Stochastic Integration Filter

Differentially Private Filtering

Similar Documents

H-Infinity Kalman Estimation for Rectangular Descriptor Systems With Unknown Inputs

Reduced-Order Quadratic Kalman-Like Filtering of Non-Gaussian Systems

On computer requirement reductions in linear-discrete system state estimation

A note on minimax estimation and Kalman filtering

Comments on On-line identification of linear dynamic systems with applications to Kalman filtering

Recursive Update Filtering for Nonlinear Estimation

New square-root algorithms for Kalman filtering

Robust Finite-Horizon Kalman Filtering for Uncertain Discrete-Time Systems

Stochastic Integration Filter

Differentially Private Filtering