Fisher information as a measure of privacy: Preserving privacy of households with smart meters using batteries
F Farokhi, H Sandberg - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
In this paper, batteries are used to preserve the privacy of households with smart meters. It is
commonly understood that data from smart meters can be used by adversaries to infringe on …
commonly understood that data from smart meters can be used by adversaries to infringe on …
Ensuring privacy with constrained additive noise by minimizing fisher information
F Farokhi, H Sandberg - Automatica, 2019 - Elsevier
The problem of preserving the privacy of individual entries of a database when responding
to linear or nonlinear queries with constrained additive noise is considered. For privacy …
to linear or nonlinear queries with constrained additive noise is considered. For privacy …
Directed information and privacy loss in cloud-based control
We consider a cloud-based control framework in which individual clients own their local
plants that must be controlled by a public authority. Individual clients desire to keep the local …
plants that must be controlled by a public authority. Individual clients desire to keep the local …
On privacy of dynamical systems: An optimal probabilistic mapping approach
We address the problem of maximizing privacy of stochastic dynamical systems whose state
information is released through quantized sensor data. In particular, we consider the setting …
information is released through quantized sensor data. In particular, we consider the setting …
Noiseless privacy: Definition, guarantees, and applications
F Farokhi - IEEE Transactions on Big Data, 2021 - ieeexplore.ieee.org
In this article, we define noiseless privacy, as a non-stochastic rival to differential privacy,
requiring that the outputs of a mechanism (ie, function composition of a privacy-preserving …
requiring that the outputs of a mechanism (ie, function composition of a privacy-preserving …
Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information
F Farokhi, H Sandberg - 2017 IEEE 56th annual conference on …, 2017 - ieeexplore.ieee.org
The problem of preserving the privacy of individual entries of a database with constrained
additive noise is considered. An adversary can submit linear queries to an agent possessing …
additive noise is considered. An adversary can submit linear queries to an agent possessing …
Privacy-preserving public release of datasets for support vector machine classification
F Farokhi - IEEE Transactions on Big Data, 2020 - ieeexplore.ieee.org
We consider the problem of publicly releasing a dataset for support vector machine
classification while not infringing on the privacy of data subjects (ie, individuals whose …
classification while not infringing on the privacy of data subjects (ie, individuals whose …
[HTML][HTML] Privacy-preserving anomaly detection in stochastic dynamical systems: Synthesis of optimal gaussian mechanisms
We present a framework for designing distorting mechanisms that allow the remote
operation of anomaly detectors while preserving privacy. We consider a problem setting in …
operation of anomaly detectors while preserving privacy. We consider a problem setting in …
On privacy of quantized sensor measurements through additive noise
We study the problem of maximizing privacy of quantized sensor measurements by adding
random variables. In particular, we consider the setting where information about the state of …
random variables. In particular, we consider the setting where information about the state of …
Development and analysis of deterministic privacy-preserving policies using non-stochastic information theory
F Farokhi - IEEE Transactions on Information Forensics and …, 2019 - ieeexplore.ieee.org
A deterministic privacy metric using non-stochastic information theory is developed.
Particularly, maximin information is used to construct a measure of information leakage …
Particularly, maximin information is used to construct a measure of information leakage …