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2020 – today
- 2023
[j41]Farhad Farokhi
:
Distributionally Robust Optimization With Noisy Data for Discrete Uncertainties Using Total Variation Distance. IEEE Control. Syst. Lett. 7: 1494-1499 (2023)- [j40]Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames:
Learning Safety Filters for Unknown Discrete-Time Linear Systems. IEEE Control. Syst. Lett. 7: 1843-1848 (2023) - [j39]Farhad Farokhi:
Noiseless Privacy: Definition, Guarantees, and Applications. IEEE Trans. Big Data 9(1): 51-62 (2023) - [c40]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: 3951-3956 - [i73]Farhad Farokhi:
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance. CoRR abs/2302.07454 (2023) - [i72]Farhad Farokhi:
Privacy Against Hypothesis-Testing Adversaries for Quantum Computing. CoRR abs/2302.12405 (2023) - [i71]Farhad Farokhi:
Maximal Quantum Information Leakage. CoRR abs/2307.12529 (2023) - 2022
- [j38]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): 31:1-31:36 (2022) - [j37]Farhad Farokhi:
Distributionally-robust machine learning using locally differentially-private data. Optim. Lett. 16(4): 1167-1179 (2022) - [j36]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): 4029-4044 (2022) - [j35]Armaghan Zafar, Michael Cantoni, Farhad Farokhi:
Structured Preconditioning of Conjugate Gradients for Path-Graph Network Optimal Control Problems. IEEE Trans. Autom. Control. 67(8): 4115-4122 (2022) - [j34]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): 6335-6355 (2022) - [j33]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): 3198-3209 (2022) - 2021
- [j32]Farhad Farokhi:
A game-theoretic approach to adversarial linear Gaussian classification. IFAC J. Syst. Control. 17: 100163 (2021) - [j31]Farhad Farokhi:
Feedback control using a strategic sensor. Int. J. Control 94(1): 1-6 (2021) - [j30]Farhad Farokhi:
Why Does Regularization Help with Mitigating Poisoning Attacks? Neural Process. Lett. 53(4): 2933-2945 (2021) - [j29]Farhad Farokhi:
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. IEEE Trans. Big Data 7(5): 893-899 (2021) - [j28]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): 2457-2472 (2021) - [j27]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: 2118-2129 (2021) - [j26]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: 2608-2620 (2021) - [c39]Farhad Farokhi:
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning. CDC 2021: 1695-1700 - [c38]Farhad Farokhi:
Using Rényi-divergence and Arimoto-Rényi Information to Quantify Membership Information Leakage. CISS 2021: 1-6 - [c37]Ni Ding, Yucheng Liu, Farhad Farokhi:
A Linear Reduction Method for Local Differential Privacy and Log-lift. ISIT 2021: 551-556 - [i70]Farhad Farokhi:
Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter. CoRR abs/2101.06811 (2021) - [i69]Ni Ding, Yucheng Liu, Farhad Farokhi:
A Linear Reduction Method for Local Differential Privacy and Log-lift. CoRR abs/2101.09689 (2021) - [i68]Farhad Farokhi, Alex S. Leong, Iman Shames, Mohammad Zamani:
Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems. CoRR abs/2103.01413 (2021) - [i67]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 abs/2106.09904 (2021) - [i66]Ni Ding, Farhad Farokhi:
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. CoRR abs/2107.01113 (2021) - [i65]Amir Saberi, Farhad Farokhi, Girish N. Nair:
Zero-Error Feedback Capacity of Finite-State Additive Noise Channels for Stabilization of Linear Systems. CoRR abs/2108.03874 (2021) - [i64]Farhad Farokhi, Magnus Egerstedt:
Optimal Stochastic Evasive Maneuvers Using the Schrodinger's Equation. CoRR abs/2110.04956 (2021) - [i63]Junsoo Kim, Farhad Farokhi, Iman Shames, Hyungbo Shim:
Toward nonlinear dynamic control over encrypted data for infinite time horizon. CoRR abs/2110.06270 (2021) - [i62]Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames:
Safe Learning of Linear Time-Invariant Systems. CoRR abs/2111.00631 (2021) - 2020
- [j25]Farhad Farokhi, Iman Shames, Karl Henrik Johansson:
Private routing and ride-sharing using homomorphic encryption. IET Cyper-Phys. Syst.: Theory & Appl. 5(4): 311-320 (2020) - [j24]Farhad Farokhi:
Non-stochastic hypothesis testing for privacy. IET Inf. Secur. 14(6): 754-763 (2020) - [j23]Michael Cantoni, Farhad Farokhi, Eric C. Kerrigan, Iman Shames:
Structured computation of optimal controls for constrained cascade systems. Int. J. Control 93(1): 30-39 (2020) - [j22]Farhad Farokhi, Iman Shames, Michael Cantoni:
Optimal contract design for effort-averse sensors. Int. J. Control 93(3): 738-745 (2020) - [j21]Farhad Farokhi:
Privacy-Preserving Constrained Quadratic Optimization With Fisher Information. IEEE Signal Process. Lett. 27: 545-549 (2020) - [j20]Carlos Murguia, Farhad Farokhi, Iman Shames:
Secure and Private Implementation of Dynamic Controllers Using Semihomomorphic Encryption. IEEE Trans. Autom. Control. 65(9): 3950-3957 (2020) - [j19]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: 3454-3469 (2020) - [j18]Ni Ding, Farhad Farokhi:
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering. IEEE Trans. Inf. Forensics Secur. 15: 3911-3923 (2020) - [c36]Farhad Farokhi:
Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon. ICCPS 2020: 1-8 - [c35]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: 2108-2113 - [c34]Farhad Farokhi, Ni Ding:
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. ITW 2020: 1-5 - [c33]Farhad Farokhi, Girish N. Nair:
Non-Stochastic Private Function Evaluation. ITW 2020: 1-5 - [c32]Nan Wu, Farhad Farokhi, David B. Smith, Mohamed Ali Kâafar:
The Value of Collaboration in Convex Machine Learning with Differential Privacy. SP 2020: 304-317 - [i61]Farhad Farokhi, Mohamed Ali Kâafar:
Modelling and Quantifying Membership Information Leakage in Machine Learning. CoRR abs/2001.10648 (2020) - [i60]Farhad Farokhi:
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance. CoRR abs/2001.10655 (2020) - [i59]Shakila Mahjabin Tonni, Farhad Farokhi, Dinusha Vatsalan, Dali Kaafar:
Data and Model Dependencies of Membership Inference Attack. CoRR abs/2002.06856 (2020) - [i58]Farhad Farokhi, Mohamed Ali Kâafar:
Predicting Performance of Asynchronous Differentially-Private Learning. CoRR abs/2003.08500 (2020) - [i57]Amir Saberi, Farhad Farokhi, Girish N. Nair:
Bounded State Estimation over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity. CoRR abs/2003.11954 (2020) - [i56]Farhad Farokhi, Ni Ding:
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. CoRR abs/2004.10911 (2020) - [i55]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 abs/2006.00892 (2020) - [i54]Iman Shames, Farhad Farokhi:
Online Stochastic Convex Optimization: Wasserstein Distance Variation. CoRR abs/2006.01397 (2020) - [i53]Farhad Farokhi:
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data. CoRR abs/2006.13488 (2020) - [i52]Farhad Farokhi, Peyman Mohajerin Esfahani:
Security Versus Privacy. CoRR abs/2008.04477 (2020) - [i51]Farhad Farokhi:
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data. CoRR abs/2008.12466 (2020) - [i50]Armaghan Zafar, Michael Cantoni, Farhad Farokhi:
Structured preconditioning of conjugate gradients for path-graph network optimal control problems. CoRR abs/2010.05616 (2020) - [i49]Farhad Farokhi, Girish N. Nair:
Non-Stochastic Private Function Evaluation. CoRR abs/2010.09968 (2020) - [i48]Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin:
When Machine Learning Meets Privacy: A Survey and Outlook. CoRR abs/2011.11819 (2020) - [i47]Farhad Farokhi:
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning. CoRR abs/2011.14572 (2020)
2010 – 2019
- 2019
- [j17]Farhad Farokhi, Henrik Sandberg:
Ensuring privacy with constrained additive noise by minimizing Fisher information. Autom. 99: 275-288 (2019) - [j16]Farhad Farokhi, Magnus Egerstedt:
Optimal Stochastic Evasive Maneuvers Using the Schrödinger's Equation. IEEE Control. Syst. Lett. 3(3): 517-522 (2019) - [j15]Farhad Farokhi:
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non- Stochastic Information Theory. IEEE Trans. Inf. Forensics Secur. 14(10): 2567-2576 (2019) - [c31]Farhad Farokhi:
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversaries. CDC 2019: 6118-6123 - [c30]Amir Saberi, Farhad Farokhi, Girish N. Nair:
State Estimation via Worst-Case Erasure and Symmetric Channels with Memory. ISIT 2019: 3072-3076 - [i46]Amir Saberi, Farhad Farokhi, Girish N. Nair:
State Estimation over Worst-Case Erasure and Symmetric Channels with Memory. CoRR abs/1902.00726 (2019) - [i45]Julian Tran, Farhad Farokhi, Michael Cantoni, Iman Shames:
Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems. CoRR abs/1902.06899 (2019) - [i44]Farhad Farokhi:
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary. CoRR abs/1904.07377 (2019) - [i43]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise. CoRR abs/1906.00577 (2019) - [i42]Nan Wu, Farhad Farokhi, David B. Smith, Mohamed Ali Kâafar:
The Value of Collaboration in Convex Machine Learning with Differential Privacy. CoRR abs/1906.09679 (2019) - [i41]Farhad Farokhi:
A Game-Theoretic Approach to Adversarial Linear Support Vector Classification. CoRR abs/1906.09721 (2019) - [i40]Farhad Farokhi:
Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon. CoRR abs/1908.03995 (2019) - [i39]Farhad Farokhi:
Taking a Lesson from Quantum Particles for Statistical Data Privacy. CoRR abs/1908.04954 (2019) - [i38]Farhad Farokhi:
Differential Privacy for Evolving Almost-Periodic Datasets with Continual Linear Queries: Application to Energy Data Privacy. CoRR abs/1909.11812 (2019) - [i37]Farhad Farokhi:
A Fundamental Bound on Performance of Non-Intrusive Load Monitoring with Application to Smart Meter Privacy. CoRR abs/1910.02220 (2019) - [i36]Farhad Farokhi:
Noiseless Privacy. CoRR abs/1910.13027 (2019) - [i35]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor:
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. CoRR abs/1910.13559 (2019) - [i34]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 abs/1911.00222 (2019) - [i33]Ni Ding, Farhad Farokhi:
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering. CoRR abs/1911.04842 (2019) - [i32]Farhad Farokhi:
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. CoRR abs/1912.12576 (2019) - 2018
- [j14]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): 195-200 (2018) - [j13]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): 554-576 (2018) - [j12]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): 4726-4734 (2018) - [c29]Farhad Farokhi, Iman Shames:
Compressive Sensing in Fault Detection. ACC 2018: 159-164 - [c28]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
On Privacy of Quantized Sensor Measurements through Additive Noise. CDC 2018: 2531-2536 - [c27]Yankai Lin, Farhad Farokhi, Iman Shames, Dragan Nesic:
Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. CDC 2018: 5002-5007 - [c26]Farhad Farokhi, Iman Shames:
Bilateral Trade Under Information Asymmetry and Quantized Measurements. CDC 2018: 5832-5837 - [c25]Farhad Farokhi, Peyman Mohajerin Esfahani:
Security Versus Privacy. CDC 2018: 7101-7106 - [i31]Farhad Farokhi, Henrik Sandberg:
Ensuring Privacy with Constrained Additive Noise by Minimizing Fisher Information. CoRR abs/1808.09565 (2018) - [i30]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
On Privacy of Quantized Sensor Measurements through Additive Noise. CoRR abs/1809.03133 (2018) - [i29]Farhad Farokhi:
Development and Analysis of Deterministic Privacy-Preserving Policies Using Non-Stochastic Information Theory. CoRR abs/1810.11153 (2018) - [i28]Carlos Murguia, Farhad Farokhi, Iman Shames:
Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption. CoRR abs/1812.04168 (2018) - 2017
- [j11]Giulio Bottegal, Farhad Farokhi, Iman Shames:
Preserving Privacy of Finite Impulse Response Systems. IEEE Control. Syst. Lett. 1(1): 128-133 (2017) - [j10]Farhad Farokhi, André M. H. Teixeira, Cedric Langbort:
Estimation With Strategic Sensors. IEEE Trans. Autom. Control. 62(2): 724-739 (2017) - [j9]Takashi Tanaka, Farhad Farokhi, Cedric Langbort:
Faithful Implementations of Distributed Algorithms and Control Laws. IEEE Trans. Control. Netw. Syst. 4(2): 191-201 (2017) - [c24]Farhad Farokhi, Henrik Sandberg:
Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information. CDC 2017: 2692-2697 - [i27]Michael Cantoni, Farhad Farokhi, Eric C. Kerrigan, Iman Shames:
Scalable computation for optimal control of cascade systems with constraints. CoRR abs/1702.06375 (2017) - [i26]Farhad Farokhi, Iman Shames, Karl Henrik Johansson:
Private and Secure Coordination of Match-Making for Heavy-Duty Vehicle Platooning. CoRR abs/1702.08582 (2017) - [i25]Giulio Bottegal, Farhad Farokhi, Iman Shames:
Preserving Privacy of Finite Impulse Response Systems. CoRR abs/1706.01587 (2017) - [i24]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 abs/1707.07371 (2017) - 2016
- [j8]Farhad Farokhi, Iman Shames, Michael G. Rabbat, Mikael Johansson:
On reconstructability of quadratic utility functions from the iterations in gradient methods. Autom. 66: 254-261 (2016) - [c23]Michael Cantoni, Farhad Farokhi, Eric C. Kerrigan, Iman Shames:
A scalable QP solver for optimal control of cascades with constraints. AuCC 2016: 132-134 - [c22]Farhad Farokhi, Michael Cantoni, Iman Shames:
A game-theoretic approach to distributed scheduling of rigid demands on dynamical systems. AuCC 2016: 147-152 - [c21]Farhad Farokhi, Jezdimir Milosevic, Henrik Sandberg:
Optimal state estimation with measurements corrupted by Laplace noise. CDC 2016: 302-307 - [c20]Iman Shames, Farhad Farokhi, Michael Cantoni:
Guaranteed maximum power point tracking by scalar iterations with quadratic convergence rate. CDC 2016: 2840-2845 - [c19]Farhad Farokhi, Iman Shames:
Preserving privacy of agents in participatory-sensing schemes for traffic estimation. CDC 2016: 6739-6744 - [i23]Farhad Farokhi, Jezdimir Milosevic, Henrik Sandberg:
Optimal State Estimation with Measurements Corrupted by Laplace Noise. CoRR abs/1609.00115 (2016) - [i22]Farhad Farokhi, Iman Shames:
Preserving Privacy of Agents in Participatory-Sensing Schemes for Traffic Estimation. CoRR abs/1609.01028 (2016) - 2015
- [j7]Farhad Farokhi, Karl Henrik Johansson:
Adaptive control design under structured model information limitation: A cost-biased maximum-likelihood approach. Syst. Control. Lett. 75: 8-13 (2015) - [j6]Farhad Farokhi, Iman Shames, Michael Cantoni:
Promoting Truthful Behavior in Participatory-Sensing Mechanisms. IEEE Signal Process. Lett. 22(10): 1538-1542 (2015) - [j5]Farhad Farokhi, Karl Henrik Johansson:
Optimal Control Design Under Limited Model Information for Discrete-Time Linear Systems With Stochastically-Varying Parameters. IEEE Trans. Autom. Control. 60(3): 684-699 (2015) - [j4]Farhad Farokhi, Karl Henrik Johansson:
A Study of Truck Platooning Incentives Using a Congestion Game. IEEE Trans. Intell. Transp. Syst. 16(2): 581-595 (2015) - [c18]Farhad Farokhi, Kuo-Yun Liang, Karl Henrik Johansson:
Cooperation patterns between fleet owners for transport assignments. CCA 2015: 1124-1129 - [c17]Farhad Farokhi, Michael Cantoni:
Distributed negotiation for scheduling smart appliances. AuCC 2015: 327-330 - [c16]Farhad Farokhi, Henrik Sandberg, Iman Shames, Michael Cantoni:
Quadratic Gaussian privacy games. CDC 2015: 4505-4510 - [c15]Farhad Farokhi, Michael Cantoni, Iman Shames:
Scheduling rigid demands on continuous-time linear shift-invariant systems. CDC 2015: 5358-5363 - [c14]Iman Shames, Tyler H. Summers, Farhad Farokhi, Rohan C. Shekhar:
Conditions and strategies for uniqueness of the solutions to cooperative localization and mapping problems using rigidity theory. CDC 2015: 6127-6132 - [c13]Martin Biel, Farhad Farokhi, Henrik Sandberg:
SiMpLIfy: A toolbox for structured model reduction. ECC 2015: 1159-1164 - [c12]Farhad Farokhi, Karl Henrik Johansson:
Using Piecewise-Constant Congestion Taxing Policy in Repeated Routing Games. SIAM Conf. on Control and its Applications 2015: 274-281 - [i21]Farhad Farokhi, Iman Shames, Michael Cantoni:
Promoting Truthful Behaviour in Participatory-Sensing Mechanisms. CoRR abs/1503.02784 (2015)