Farhad Farokhi

Deconvoluting kernel density estimation and regression for locally differentially private data.

Farhad Farokhi

Journal article  |  2020  |  Scientific Reports

Local differential privacy has become the gold-standard of privacy literature for gathering or releasing sensitive individual data..

Non-stochastic hypothesis testing for privacy

Farhad Farokhi

Journal article  |  2020  |  IET Information Security

In this paper, we consider privacy against hypothesis testing adversaries within a non-stochastic framework. We develop a theory o..

Review of results on smart-meter privacy by data manipulation, demand shaping, and load scheduling

F Farokhi

Journal article  |  2020  |  IET Smart Grid

Simple analysis of energy consumption patterns recorded by smart meters can be used to deduce household occupancy. With access to ..

Secure and Private Implementation of Dynamic Controllers Using Semihomomorphic Encryption

Carlos Murguia, Farhad Farokhi, Iman Shames

Journal article  |  2020  |  IEEE Transactions on Automatic Control

This article presents a secure and private implementation of linear time-invariant dynamic controllers using Paillier's encryption..

Federated Learning with Differential Privacy: Algorithms and Performance Analysis

K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor

Journal article  |  2020  |  IEEE Transactions on Information Forensics and Security

Federated learning (FL), as a type of distributed machine learning, is capable of significantly preserving clients’ private data f..

Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering

Ni Ding, Farhad Farokhi

Journal article  |  2020  |  IEEE Transactions on Information Forensics and Security

We consider a non-stochastic privacy-preserving problem in which an adversary aims to infer sensitive information S from publicly ..

Temporally discounted differential privacy for evolving datasets on an infinite horizon

Farhad Farokhi

Conference Proceedings  |  2020  |  Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020

We define discounted differential privacy, as an alternative to (conventional) differential privacy, to investigate privacy of evo..

Privacy-Preserving Constrained Quadratic Optimization with Fisher Information

F Farokhi

Journal article  |  2020  |  IEEE Signal Processing Letters

Noisy (stochastic) gradient descent is used to develop privacy-preserving algorithms for solving constrained quadratic optimizatio..

Implementing homomorphic encryption based secure feedback control

Julian Tran, Farhad Farokhi, Michael Cantoni, Iman Shames

Journal article  |  2020  |  Control Engineering Practice

This paper is about an encryption based approach to the secure implementation of feedback controllers for physical systems. Specif..

Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversaries

F Farokhi

Conference Proceedings  |  2020  |  Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control

We consider privacy against hypothesis-testing adversaries within a non-stochastic framework. We develop a theory of non-stochasti..