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20132026
most citedMachine Learning Methods for Attack Detection in the Smart Grid

655 citations · 1.4k across the 34 of their papers we have counts for

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14 papers · 1 filter

cs.IT2025

Proofs for Folklore Theorems on the Radon-Nikodym Derivative

Yaiza Bermudez, Gaetan Bisson, Iñaki Esnaola +1

In this technical report, rigorous statements and formal proofs are presented for both foundational and advanced folklore theorems on the Radon-Nikodym derivative. The cases of con…

cs.IT2023★ 1 cited

Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization

Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza +1

The effect of the relative entropy asymmetry is analyzed in the empirical risk minimization with relative entropy regularization (ERM-RER) problem. A novel regularization is introd…

cs.IT2021

Asymptotic Learning Requirements for Stealth Attacks on Linearized State Estimation

Ke Sun, Iñaki Esnaola, Antonia M. Tulino +1

Information-theoretic stealth attacks are data injection attacks that minimize the amount of information acquired by the operator about the state variables, while simultaneously li…

cs.IT2019★ 1 cited

Universal Mutual Information Privacy Guarantees for Smart Meters

Miguel Arrieta, Iñaki Esnaola, Michelle Effros

Smart meters enable improvements in electricity distribution system efficiency at some cost in customer privacy. Users with home batteries can mitigate this privacy loss by applyin…

cs.IT2019★ 1 cited

Learning requirements for stealth attacks

Ke Sun, Iñaki Esnaola, Antonia M. Tulino +1

The learning data requirements are analyzed for the construction of stealth attacks in state estimation. In particular, the training data set is used to compute a sample covariance…

cs.IT2018★ 2 cited

Stealth Attacks on the Smart Grid

Ke Sun, Iñaki Esnaola, Samir M. Perlaza +1

Random attacks that jointly minimize the amount of information acquired by the operator about the state of the grid and the probability of attack detection are presented. The attac…

cs.IT2017

Information-Theoretic Attacks in the Smart Grid

Ke Sun, Inaki Esnaola, Samir M. Perlaza +1

Gaussian random attacks that jointly minimize the amount of information obtained by the operator from the grid and the probability of attack detection are presented. The constructi…

cs.IT2017★ 3 cited

Smart Meter Privacy via the Trapdoor Channel

Miguel Arrieta, Inaki Esnaola

A battery charging policy that provides privacy guarantees for smart meter systems with finite capacity battery is proposed. For this policy an upper bound on the information leaka…

cs.IT2016★ 6 cited

Compressed Sensing Algorithms for OFDM Channel Estimation

Jonathan Ling, Dmitry Chizhik, A. Tulino +1

Radio channels are typically sparse in the delay domain, and ideal for compressed sensing. A new compressed sensing algorithm called eX-OMP is developed that yields performance sim…

cs.IT2016

Approximate Capacity Region of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback

Victor Quintero, Samir M. Perlaza, Iñaki Esnaola +1

In this paper, the capacity region of the linear deterministic interference channel with noisy channel-output feedback (LD-IC-NF) is fully characterized. The proof of achievability…

cs.IT2016★ 1 cited

Approximate Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback

Victor Quintero, Samir M. Perlaza, Iñaki Esnaola +1

In this research report, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. T…

cs.IT2016★ 2 cited

Approximate Capacity of the Gaussian Interference Channel with Noisy Channel-Output Feedback

Victor Quintero, Samir M. Perlaza, Iñaki Esnaola +1

In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achieva…

cs.IT2015★ 160 cited

Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models

Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural +2

New methods that exploit sparse structures arising in smart grid networks are proposed for the state estimation problem when data injection attacks are present. First, construction…

cs.IT2013★ 511 cited

Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks

Zhiguo Ding, Samir M. Perlaza, Inaki Esnaola +1

In this paper, a wireless cooperative network is considered, in which multiple source-destination pairs communicate with each other via an energy harvesting relay. The focus of thi…