| Machine learning methods for attack detection in the smart grid M Ozay, I Esnaola, FTY Vural, SR Kulkarni, HV Poor IEEE Transactions on Neural Networks and Learning Systems 27 (8), 1773-1786, 2016 | 678 | 2016 |
| Power allocation strategies in energy harvesting wireless cooperative networks Z Ding, SM Perlaza, I Esnaola, HV Poor IEEE Transactions on Wireless Communications 13 (2), 846-860, 2014 | 617 | 2014 |
| Sparse attack construction and state estimation in the smart grid: Centralized and distributed models M Ozay, I Esnaola, FTY Vural, SR Kulkarni, HV Poor IEEE Journal on Selected Areas in Communications 31 (7), 1306-1318, 2013 | 190 | 2013 |
| SPADEDH: a sparsity-based denoising method of digital holograms without knowing the noise statistics P Memmolo, I Esnaola, A Finizio, M Paturzo, P Ferraro, AM Tulino Optics Express 20 (15), 17250-17257, 2012 | 60 | 2012 |
| Recovering missing data via matrix completion in electricity distribution systems C Genes, I Esnaola, SM Perlaza, LF Ochoa, D Coca 2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016 | 50 | 2016 |
| Robust recovery of missing data in electricity distribution systems C Genes, I Esnaola, SM Perlaza, LF Ochoa, D Coca IEEE Transactions on Smart Grid 10 (4), 4057-4067, 2018 | 45 | 2018 |
| Maximum distortion attacks in electricity grids I Esnaola, SM Perlaza, HV Poor, O Kosut IEEE Transactions on Smart Grid 7 (4), 2007-2015, 2016 | 35 | 2016 |
| A Kriging algorithm for location fingerprinting based on received signal strength C Liu, A Kiring, N Salman, L Mihaylova, I Esnaola 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2015 | 34 | 2015 |
| Distributed models for sparse attack construction and state vector estimation in the smart grid M Ozay, I Esnaola, FTY Vural, SR Kulkarni, HV Poor 2012 IEEE Third International Conference on Smart Grid Communications …, 2012 | 33 | 2012 |
| Stealth attacks on the smart grid K Sun, I Esnaola, SM Perlaza, HV Poor IEEE Transactions on Smart Grid 11 (2), 1276-1285, 2019 | 30 | 2019 |
| Exploiting prior knowledge in the recovery of signals from noisy random projections J Garcia-Frias, I Esnaola Data Compression Conference, 2007. DCC'07, 333-342, 2007 | 29 | 2007 |
| Smarter security in the smart grid M Ozay, I Esnaola, FTY Vural, SR Kulkarni, HV Poor 2012 IEEE third international conference on smart grid communications …, 2012 | 23 | 2012 |
| Joint source-channel coding of sources with memory using turbo codes and the burrows-wheeler transform J Del Ser, PM Crespo, I Esnaola, J Garcia-Frias IEEE Transactions on Communications 58 (7), 1984-1992, 2010 | 23 | 2010 |
| On the validation of Gibbs algorithms: Training datasets, test datasets and their aggregation SM Perlaza, I Esnaola, G Bisson, HV Poor 2023 IEEE International Symposium on Information Theory (ISIT), 328-333, 2023 | 16 | 2023 |
| Smart meter privacy via the trapdoor channel M Arrieta, I Esnaola 2017 IEEE international conference on smart grid communications …, 2017 | 16 | 2017 |
| Empirical risk minimization with relative entropy regularization: Optimality and sensitivity analysis SM Perlaza, G Bisson, I Esnaola, A Jean-Marie, S Rini 2022 IEEE International Symposium on Information Theory (ISIT), 684-689, 2022 | 15 | 2022 |
| Empirical risk minimization with relative entropy regularization SM Perlaza, G Bisson, I Esnaola, A Jean-Marie, S Rini IEEE Transactions on Information Theory, 2024 | 14 | 2024 |
| Information-theoretic attacks in the smart grid K Sun, I Esnaola, SM Perlaza, HV Poor 2017 IEEE International Conference on Smart Grid Communications …, 2017 | 14 | 2017 |
| Sensitivity of the Gibbs algorithm to data aggregation in supervised machine learning SM Perlaza, I Esnaola, HV Poor Inria, 2022 | 13 | 2022 |
| SwarmCom: an infra-red-based mobile ad-hoc network for severely constrained robots SM Trenkwalder, I Esnaola, Y Kaszubowski Lopes, A Kolling, R Groß Autonomous Robots 44 (1), 93-114, 2020 | 13 | 2020 |
