Farhad Farokhi

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 131

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

IEEE Control. Syst. Lett.

Publications

Farhad Farokhi
Barycentric and Pairwise Renyi Quantum Leakage. CoRR (2024)
Tian Hui, Farhad Farokhi, Olga Ohrimenko
Information Leakage from Data Updates in Machine Learning Models. CoRR (2023)
Farhad Farokhi
Distributionally Robust Optimization With Noisy Data for Discrete Uncertainties Using Total Variation Distance. IEEE Control. Syst. Lett. 7 (2023)
Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames
Learning Safety Filters for Unknown Discrete-Time Linear Systems. IEEE Control. Syst. Lett. 7 (2023)
Tian Hui, Farhad Farokhi, Olga Ohrimenko
Information Leakage from Data Updates in Machine Learning Models. AISec@CCS (2023)
Farhad Farokhi, Alex S. Leong, Iman Shames, Mohammad Zamani
A Computationally-Friendly Data-Driven Safety Filter for Control-Affine Discrete-Time Systems Subject to Unknown Process Noise. ACC (2023)
Farhad Farokhi
Quantum Privacy and Hypothesis-Testing. CDC (2023)
Farhad Farokhi
Noiseless Privacy: Definition, Guarantees, and Applications. IEEE Trans. Big Data 9 (1) (2023)
Farhad Farokhi
Maximal Quantum Information Leakage. CoRR (2023)
Farhad Farokhi
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance. CoRR (2023)
Ghassen Zafzouf, Girish N. Nair, Farhad Farokhi
Uniformly Bounded State Estimation Over Multiple Access Channels. IEEE Trans. Autom. Control. 68 (12) (2023)
Farhad Farokhi
Privacy Against Hypothesis-Testing Adversaries for Quantum Computing. CoRR (2023)
Yuen-Man Pun, Farhad Farokhi, Iman Shames
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning. CoRR (2023)
Amir Saberi, Farhad Farokhi, Girish N. Nair
Bounded Estimation Over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity. IEEE Trans. Autom. Control. 67 (8) (2022)
Nazim Uddin Sheikh, Hassan Jameel Asghar, Farhad Farokhi, Mohamed Ali Kâafar
Do Auto-Regressive Models Protect Privacy? Inferring Fine-Grained Energy Consumption From Aggregated Model Parameters. IEEE Trans. Serv. Comput. 15 (6) (2022)
Farhad Farokhi
Distributionally-robust machine learning using locally differentially-private data. Optim. Lett. 16 (4) (2022)
Amir Saberi, Farhad Farokhi, Girish N. Nair
Zero-Error Feedback Capacity for Bounded Stabilization and Finite-State Additive Noise Channels. IEEE Trans. Inf. Theory 68 (10) (2022)
Armaghan Zafar, Michael Cantoni, Farhad Farokhi
Structured Preconditioning of Conjugate Gradients for Path-Graph Network Optimal Control Problems. IEEE Trans. Autom. Control. 67 (8) (2022)
Farhad Farokhi
Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter. CoRR (2021)
Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Farhad Farokhi
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. IEEE Trans. Big Data 7 (5) (2021)
Farhad Farokhi, Alex S. Leong, Iman Shames, Mohammad Zamani
Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems. CoRR (2021)
Amir Saberi, Farhad Farokhi, Girish N. Nair
Zero-Error Feedback Capacity of Finite-State Additive Noise Channels for Stabilization of Linear Systems. CoRR (2021)
Ni Ding, Farhad Farokhi
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. CoRR (2021)
Farhad Farokhi, Magnus Egerstedt
Optimal Stochastic Evasive Maneuvers Using the Schrodinger's Equation. CoRR (2021)
Adair Lang, Michael Cantoni, Farhad Farokhi, Iman Shames
Rigid-Profile Input Scheduling Under Constrained Dynamics With a Water Network Application. IEEE Trans. Control. Syst. Technol. 29 (6) (2021)
Farhad Farokhi
Why Does Regularization Help with Mitigating Poisoning Attacks? Neural Process. Lett. 53 (4) (2021)
Ni Ding, Yucheng Liu, Farhad Farokhi
A Linear Reduction Method for Local Differential Privacy and Log-lift. ISIT (2021)
Farhad Farokhi
Using Rényi-divergence and Arimoto-Rényi Information to Quantify Membership Information Leakage. CISS (2021)
Farhad Farokhi
A game-theoretic approach to adversarial linear Gaussian classification. IFAC J. Syst. Control. 17 (2021)
Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames
Safe Learning of Linear Time-Invariant Systems. CoRR (2021)
Farhad Farokhi, Nan Wu, David B. Smith, Mohamed Ali Kâafar
The Cost of Privacy in Asynchronous Differentially-Private Machine Learning. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Farhad Farokhi
Feedback control using a strategic sensor. Int. J. Control 94 (1) (2021)
Farhad Farokhi
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning. CDC (2021)
Junsoo Kim, Farhad Farokhi, Iman Shames, Hyungbo Shim
Toward nonlinear dynamic control over encrypted data for infinite time horizon. CoRR (2021)
Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin
When Machine Learning Meets Privacy: A Survey and Outlook. ACM Comput. Surv. 54 (2) (2021)
Ni Ding, Yucheng Liu, Farhad Farokhi
A Linear Reduction Method for Local Differential Privacy and Log-lift. CoRR (2021)
Tham Nguyen, Hassan Jameel Asghar, Raghav Bhaskar, Dali Kaafar, Farhad Farokhi
Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants. CoRR (2021)
Farhad Farokhi, Girish N. Nair
Non-Stochastic Private Function Evaluation. ITW (2020)
Shakila Mahjabin Tonni, Farhad Farokhi, Dinusha Vatsalan, Dali Kaafar
Data and Model Dependencies of Membership Inference Attack. CoRR (2020)
Farhad Farokhi
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance. CoRR (2020)
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
Federated Learning With Differential Privacy: Algorithms and Performance Analysis. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin
When Machine Learning Meets Privacy: A Survey and Outlook. CoRR (2020)
Farhad Farokhi, Mohamed Ali Kâafar
Modelling and Quantifying Membership Information Leakage in Machine Learning. CoRR (2020)
Armaghan Zafar, Michael Cantoni, Farhad Farokhi
Structured preconditioning of conjugate gradients for path-graph network optimal control problems. CoRR (2020)
Farhad Farokhi
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data. CoRR (2020)
Amir Saberi, Farhad Farokhi, Girish N. Nair
An Explicit Formula for the Zero-Error Feedback Capacity of a Class of Finite-State Additive Noise Channels. ISIT (2020)
Farhad Farokhi
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning. CoRR (2020)
Farhad Farokhi
Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon. ICCPS (2020)
Farhad Farokhi
Non-stochastic hypothesis testing for privacy. IET Inf. Secur. 14 (6) (2020)
Farhad Farokhi, Mohamed Ali Kâafar
Predicting Performance of Asynchronous Differentially-Private Learning. CoRR (2020)
Farhad Farokhi
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data. CoRR (2020)
Farhad Farokhi, Iman Shames, Karl Henrik Johansson
Private routing and ride-sharing using homomorphic encryption. IET Cyper-Phys. Syst.: Theory & Appl. 5 (4) (2020)
Farhad Farokhi
Privacy-Preserving Constrained Quadratic Optimization With Fisher Information. IEEE Signal Process. Lett. 27 (2020)
Ni Ding, Farhad Farokhi
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Farhad Farokhi, Iman Shames, Michael Cantoni
Optimal contract design for effort-averse sensors. Int. J. Control 93 (3) (2020)
Farhad Farokhi, Peyman Mohajerin Esfahani
Security Versus Privacy. CoRR (2020)
Farhad Farokhi, Ni Ding
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. ITW (2020)
Nan Wu, Farhad Farokhi, David B. Smith, Mohamed Ali Kâafar
The Value of Collaboration in Convex Machine Learning with Differential Privacy. IEEE Symposium on Security and Privacy (2020)
Amir Saberi, Farhad Farokhi, Girish N. Nair
An Explicit Formula for the Zero-Error Feedback Capacity of a Class of Finite-State Additive Noise Channels. CoRR (2020)
Michael Cantoni, Farhad Farokhi, Eric C. Kerrigan, Iman Shames
Structured computation of optimal controls for constrained cascade systems. Int. J. Control 93 (1) (2020)
Iman Shames, Farhad Farokhi
Online Stochastic Convex Optimization: Wasserstein Distance Variation. CoRR (2020)
Farhad Farokhi, Ni Ding
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. CoRR (2020)
Farhad Farokhi, Girish N. Nair
Non-Stochastic Private Function Evaluation. CoRR (2020)
Amir Saberi, Farhad Farokhi, Girish N. Nair
Bounded State Estimation over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity. CoRR (2020)
Carlos Murguia, Farhad Farokhi, Iman Shames
Secure and Private Implementation of Dynamic Controllers Using Semihomomorphic Encryption. IEEE Trans. Autom. Control. 65 (9) (2020)
Farhad Farokhi
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non- Stochastic Information Theory. IEEE Trans. Inf. Forensics Secur. 14 (10) (2019)
Farhad Farokhi
Differential Privacy for Evolving Almost-Periodic Datasets with Continual Linear Queries: Application to Energy Data Privacy. CoRR (2019)
Farhad Farokhi
Taking a Lesson from Quantum Particles for Statistical Data Privacy. CoRR (2019)
Nan Wu, Farhad Farokhi, David B. Smith, Mohamed Ali Kâafar
The Value of Collaboration in Convex Machine Learning with Differential Privacy. CoRR (2019)
Farhad Farokhi
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. CoRR (2019)
Farhad Farokhi, Magnus Egerstedt
Optimal Stochastic Evasive Maneuvers Using the Schrödinger's Equation. IEEE Control. Syst. Lett. 3 (3) (2019)
Farhad Farokhi
Noiseless Privacy. CoRR (2019)
Amir Saberi, Farhad Farokhi, Girish N. Nair
State Estimation over Worst-Case Erasure and Symmetric Channels with Memory. CoRR (2019)
Amir Saberi, Farhad Farokhi, Girish N. Nair
State Estimation via Worst-Case Erasure and Symmetric Channels with Memory. ISIT (2019)
Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic
Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise. CoRR (2019)
Julian Tran, Farhad Farokhi, Michael Cantoni, Iman Shames
Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems. CoRR (2019)
Farhad Farokhi, Henrik Sandberg
Ensuring privacy with constrained additive noise by minimizing Fisher information. Autom. 99 (2019)
Farhad Farokhi
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary. CoRR (2019)
Farhad Farokhi
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversaries. CDC (2019)
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek, H. Vincent Poor
Federated Learning with Differential Privacy: Algorithms and Performance Analysis. CoRR (2019)
Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. CoRR (2019)
Ni Ding, Farhad Farokhi
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering. CoRR (2019)
Farhad Farokhi
Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon. CoRR (2019)
Farhad Farokhi
A Fundamental Bound on Performance of Non-Intrusive Load Monitoring with Application to Smart Meter Privacy. CoRR (2019)
Farhad Farokhi
A Game-Theoretic Approach to Adversarial Linear Support Vector Classification. CoRR (2019)
Farhad Farokhi, Peyman Mohajerin Esfahani
Security Versus Privacy. CDC (2018)
Moritz Schulze Darup, Adrian Redder, Iman Shames, Farhad Farokhi, Daniel E. Quevedo
Towards Encrypted MPC for Linear Constrained Systems. IEEE Control. Syst. Lett. 2 (2) (2018)
Farhad Farokhi, Henrik Sandberg
Fisher Information as a Measure of Privacy: Preserving Privacy of Households With Smart Meters Using Batteries. IEEE Trans. Smart Grid 9 (5) (2018)
Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic
On Privacy of Quantized Sensor Measurements through Additive Noise. CoRR (2018)
Alexander Keimer, Nicolas Laurent-Brouty, Farhad Farokhi, Hippolyte Signargout, Vladimir Cvetkovic, Alexandre M. Bayen, Karl Henrik Johansson
Information Patterns in the Modeling and Design of Mobility Management Services. Proc. IEEE 106 (4) (2018)
Farhad Farokhi, Iman Shames
Bilateral Trade Under Information Asymmetry and Quantized Measurements. CDC (2018)
Farhad Farokhi, Iman Shames
Compressive Sensing in Fault Detection. ACC (2018)
Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic
On Privacy of Quantized Sensor Measurements through Additive Noise. CDC (2018)
Carlos Murguia, Farhad Farokhi, Iman Shames
Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption. CoRR (2018)
Farhad Farokhi
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non-Stochastic Information Theory. CoRR (2018)
Farhad Farokhi, Henrik Sandberg
Ensuring Privacy with Constrained Additive Noise by Minimizing Fisher Information. CoRR (2018)
Yankai Lin, Farhad Farokhi, Iman Shames, Dragan Nesic
Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. CDC (2018)
Alexander Keimer, Nicolas Laurent-Brouty, Farhad Farokhi, Hippolyte Signargout, Vladimir Cvetkovic, Alexandre M. Bayen, Karl Henrik Johansson
Integration of Information Patterns in the Modeling and Design of Mobility Management Services. CoRR (2017)
Giulio Bottegal, Farhad Farokhi, Iman Shames
Preserving Privacy of Finite Impulse Response Systems. IEEE Control. Syst. Lett. 1 (1) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Farhad Farokhi