Farhad Farokhi

According to our database1, Farhad Farokhi authored at least 99 papers between 2011 and 2021.

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Bibliography

2021
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach.
IEEE Trans. Inf. Forensics Secur., 2021

The Cost of Privacy in Asynchronous Differentially-Private Machine Learning.
IEEE Trans. Inf. Forensics Secur., 2021

Feedback control using a strategic sensor.
Int. J. Control, 2021

Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems.
CoRR, 2021

A Linear Reduction Method for Local Differential Privacy and Log-lift.
CoRR, 2021

Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter.
CoRR, 2021

2020
Federated Learning With Differential Privacy: Algorithms and Performance Analysis.
IEEE Trans. Inf. Forensics Secur., 2020

Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering.
IEEE Trans. Inf. Forensics Secur., 2020

Secure and Private Implementation of Dynamic Controllers Using Semihomomorphic Encryption.
IEEE Trans. Autom. Control., 2020

Privacy-Preserving Constrained Quadratic Optimization With Fisher Information.
IEEE Signal Process. Lett., 2020

Optimal contract design for effort-averse sensors.
Int. J. Control, 2020

Structured computation of optimal controls for constrained cascade systems.
Int. J. Control, 2020

Non-stochastic hypothesis testing for privacy.
IET Inf. Secur., 2020

Private routing and ride-sharing using homomorphic encryption.
IET Cyper-Phys. Syst.: Theory & Appl., 2020

Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning.
CoRR, 2020

When Machine Learning Meets Privacy: A Survey and Outlook.
CoRR, 2020

Non-Stochastic Private Function Evaluation.
CoRR, 2020

Structured preconditioning of conjugate gradients for path-graph network optimal control problems.
CoRR, 2020

Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data.
CoRR, 2020

Distributionally-Robust Machine Learning Using Locally Differentially-Private Data.
CoRR, 2020

Online Stochastic Convex Optimization: Wasserstein Distance Variation.
CoRR, 2020

Measuring Information Leakage in Non-stochastic Brute-Force Guessing.
CoRR, 2020

Bounded State Estimation over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity.
CoRR, 2020

Predicting Performance of Asynchronous Differentially-Private Learning.
CoRR, 2020

Data and Model Dependencies of Membership Inference Attack.
CoRR, 2020

Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance.
CoRR, 2020

Modelling and Quantifying Membership Information Leakage in Machine Learning.
CoRR, 2020

The Value of Collaboration in Convex Machine Learning with Differential Privacy.
Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

An Explicit Formula for the Zero-Error Feedback Capacity of a Class of Finite-State Additive Noise Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon.
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

2019
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non- Stochastic Information Theory.
IEEE Trans. Inf. Forensics Secur., 2019

Optimal Stochastic Evasive Maneuvers Using the Schrödinger's Equation.
IEEE Control. Syst. Lett., 2019

Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification.
CoRR, 2019

Noiseless Privacy.
CoRR, 2019

A Fundamental Bound on Performance of Non-Intrusive Load Monitoring with Application to Smart Meter Privacy.
CoRR, 2019

Differential Privacy for Evolving Almost-Periodic Datasets with Continual Linear Queries: Application to Energy Data Privacy.
CoRR, 2019

Taking a Lesson from Quantum Particles for Statistical Data Privacy.
CoRR, 2019

Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon.
CoRR, 2019

A Game-Theoretic Approach to Adversarial Linear Support Vector Classification.
CoRR, 2019

Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise.
CoRR, 2019

Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary.
CoRR, 2019

Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems.
CoRR, 2019

State Estimation over Worst-Case Erasure and Symmetric Channels with Memory.
CoRR, 2019

Ensuring privacy with constrained additive noise by minimizing Fisher information.
Autom., 2019

State Estimation via Worst-Case Erasure and Symmetric Channels with Memory.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversaries.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Fisher Information as a Measure of Privacy: Preserving Privacy of Households With Smart Meters Using Batteries.
IEEE Trans. Smart Grid, 2018

Information Patterns in the Modeling and Design of Mobility Management Services.
Proc. IEEE, 2018

Towards Encrypted MPC for Linear Constrained Systems.
IEEE Control. Syst. Lett., 2018

Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption.
CoRR, 2018

On Privacy of Quantized Sensor Measurements through Additive Noise.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Bilateral Trade Under Information Asymmetry and Quantized Measurements.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Security Versus Privacy.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Compressive Sensing in Fault Detection.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Faithful Implementations of Distributed Algorithms and Control Laws.
IEEE Trans. Control. Netw. Syst., 2017

Estimation With Strategic Sensors.
IEEE Trans. Autom. Control., 2017

Preserving Privacy of Finite Impulse Response Systems.
IEEE Control. Syst. Lett., 2017

Integration of Information Patterns in the Modeling and Design of Mobility Management Services.
CoRR, 2017

Private and Secure Coordination of Match-Making for Heavy-Duty Vehicle Platooning.
CoRR, 2017

Scalable computation for optimal control of cascade systems with constraints.
CoRR, 2017

Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
On reconstructability of quadratic utility functions from the iterations in gradient methods.
Autom., 2016

Guaranteed maximum power point tracking by scalar iterations with quadratic convergence rate.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Preserving privacy of agents in participatory-sensing schemes for traffic estimation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal state estimation with measurements corrupted by Laplace noise.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A game-theoretic approach to distributed scheduling of rigid demands on dynamical systems.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

A scalable QP solver for optimal control of cascades with constraints.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015
A Study of Truck Platooning Incentives Using a Congestion Game.
IEEE Trans. Intell. Transp. Syst., 2015

Optimal Control Design Under Limited Model Information for Discrete-Time Linear Systems With Stochastically-Varying Parameters.
IEEE Trans. Autom. Control., 2015

Promoting Truthful Behavior in Participatory-Sensing Mechanisms.
IEEE Signal Process. Lett., 2015

Adaptive control design under structured model information limitation: A cost-biased maximum-likelihood approach.
Syst. Control. Lett., 2015

Optimal Contract Design for Information Acquisition and Sensing.
CoRR, 2015

Promoting Truthful Behaviour in Participatory-Sensing Mechanisms.
CoRR, 2015

Mutual Information as Privacy-Loss Measure in Strategic Communication.
CoRR, 2015

Using Piecewise-Constant Congestion Taxing Policy in Repeated Routing Games.
Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

SiMpLIfy: A toolbox for structured model reduction.
Proceedings of the 14th European Control Conference, 2015

Conditions and strategies for uniqueness of the solutions to cooperative localization and mapping problems using rigidity theory.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quadratic Gaussian privacy games.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Scheduling rigid demands on continuous-time linear shift-invariant systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed negotiation for scheduling smart appliances.
Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015

Cooperation patterns between fleet owners for transport assignments.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
Stochastic Sensor Scheduling for Networked Control Systems.
IEEE Trans. Autom. Control., 2014

Gaussian cheap talk game with quadratic cost functions: When herding between strategic senders is a virtue.
Proceedings of the American Control Conference, 2014

2013
Decentralized Disturbance Accommodation with Limited Plant Model Information.
SIAM J. Control. Optim., 2013

Networked Estimation using Sparsifying Basis Prediction.
CoRR, 2013

A Necessary and Sufficient Condition for the Existence of Potential Functions for Heterogeneous Routing Games.
CoRR, 2013

Optimal structured static state-feedback control design with limited model information for fully-actuated systems.
Autom., 2013

A game-theoretic framework for studying truck platooning incentives.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

A faithful distributed implementation of dual decomposition and average consensus algorithms.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Optimal H∞ control design under model information limitations and state measurement constraints.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Complexity reduction for parameter-dependent linear systems.
Proceedings of the American Control Conference, 2013

Stochastic sensor scheduling with application to networked control.
Proceedings of the American Control Conference, 2013

A heterogeneous routing game.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Optimal Control Design under Structured Model Information Limitation Using Adaptive Algorithms
CoRR, 2012

Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers
CoRR, 2012

Limited model information control design for linear discrete-time systems with stochastic parameters.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Optimal disturbance accommodation with limited model information.
Proceedings of the American Control Conference, 2012

2011
Dynamic control design based on limited model information.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011


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