Journal Publications

  1. G. Crowley, S. Tait, G. Panoutsos, V. Speight, and I. Esnaola, "Information-Theoretic Sensor Placement for Large Sewer Networks," Water Research, Accepted for publication. [Preprint]

  2. S.M. Perlaza, G. Bisson, I. Esnaola, A. Jean-Marie, and S. Rini, “Empirical Risk Minimization with Relative Entropy Regularizations,” IEEE Trans. Inf. Theory, vol. 70, no. 7, pp. 5122-5161, Jul. 2024. [Preprint]

  3. X. Ye, I. Esnaola, S.M. Perlaza, and R.F. Harrison, "An Information Theoretic Metric for Measurement Vulnerability to Data Integrity Attacks on Smart Grids," IET Smart Grid, pp. 1-10, May 2024. [Open Access]

  4. X. Zou, S.M. Perlaza, I. Esnaola, E. Altman, and H.V. Poor, “The worst-case data-generating probability measure in statistical learning,” IEEE Journal on Selected Areas in Information Theory Special Issue: Information-Theoretic Methods for Trustworthy and Reliable Machine Learning, vol. 5, pp. 175-189, Apr. 2024. [Preprint]

  5. K. Sun, I. Esnaola, A.M. Tulino and H.V. Poor, “Asymptotic Learning Requirements for Stealth Attacks,” IEEE Trans. Smart Grid, vol. 14, no. 4, pp. 3189-3200, Jul. 2023. [Preprint]

  6. X. Ye, I. Esnaola, S.M. Perlaza, and R.F. Harrison, “Stealth Data Injection Attacks with Sparsity Constraints,” IEEE Trans. Smart Grid, vol. 14, no. 4, pp. 3201-3209, Jul. 2023. [Preprint]

  7. J. Monsalve, J. Ramirez, I. Esnaola, and H. Arguello, “Covariance Estimation from Compressive Data Partitions using a Projected Gradient-based Algorithm,” IEEE Trans. Image Proc., vol. 31, pp. 4817-4827, Jul. 2022. [Preprint]

  8. Z. Hodgson, I. Esnaola, and B.L. Jones, “Model-Based Optimal Adaptive Monitoring of Oil Spills,” IEEE Trans. Control Syst. Technol., vol. 30, no. 5, pp. 2115-2130, Sep. 2022. [Preprint]

  9. K. Sun, I. Esnaola, O. Okorie, F. Charnley, M. Moreno, A. Tiwari, “ Data-driven modeling and monitoring of fuel cell performance,” International Journal of Hydrogen Energy, vol. 46, no. 66, Sep. 2021.

  10. S.M. Trenkwalder, I. Esnaola, Y. Kaszubowski Lopes, A. Kolling, and R. Groß, “SwarmCom: An Infra-Red-Based Mobile Ad-Hoc Network for Severely Constrained Robots,” Autonomous Robots, vol. 44, no. 1, pp. 93–114, Jan. 2020.

  11. K. Sun, I. Esnaola, S.M. Perlaza, and H.V. Poor, “Stealth Attacks on the Smart Grid,” IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 1276–1285, Aug. 2019.

  12. C. Genes, I. Esnaola, S.M. Perlaza, L.F. Ochoa, and D. Coca, “Robust Recovery of Missing Data in Electricity Distribution Systems,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 4057–4067, Jul. 2019.

  13. V. Quintero, S. M. Perlaza, I. Esnaola, and J.M. Gorce, “Approximate Capacity Region of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback,” submitted to IEEE Trans. Inf. Theory, vol. 64, no. 7, pp. 5326–5358, Jul. 2018.

  14. V. Quintero, S.M. Perlaza, I. Esnaola, and J.M. Gorce, “When Does Output Feedback Enlarge the Capacity of the Interference Channel?,” IEEE Trans. Commun., vol. 66, no. 2, pp. 615 –628, Feb. 2018.

  15. A. Kiring, N. Salman, C. Liu, I. Esnaola, and L. Mihaylova, “Tracking With Sparse and Correlated Measurements via a Shrinkage-Based Particle Filter,” IEEE Sensors Journal, vol. 17, no. 10, pp. 3154–3164, May 2017.

  16. M. Ozay, I. Esnaola, F.T. Yarman Vural, S.R. Kulkarni and H.V. Poor, “Machine Learning Methods for Attack Detection in the Smart Grid,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 8, pp. 1773–1786, Aug. 2016.

  17. I. Esnaola, S.M. Perlaza, H.V. Poor and O. Kosut, “Maximum Distortion Attacks in Electricity Grids,” IEEE Trans. Smart Grid, vol. 7, no. 4, pp. 2007–2015, Jul. 2016.

  18. Z. Ding, S. Perlaza, I. Esnaola, and H.V. Poor, “Power Allocation Strategies in Energy Harvesting Wireless Cooperative Network,” IEEE Transactions on Wireless Communications, vol. 13, no. 2, pp. 1536–1276, Feb. 2014.

  19. I. Esnaola, A.M. Tulino, and J. Garcia-Frias, “Linear Analog Coding of Correlated Multivariate Sources,” IEEE Transactions on Communications, vol. 61, no. 8, pp. 3438–3447, Aug. 2013.

  20. A. Aubry, I. Esnaola, A.M. Tulino, and S. Venkatesan, “Achievable Rate Region for Gaussian MIMO MAC with Partial CSI,” IEEE Transactions on Information Theory, vol. 59, no. 7, pp. 4139–4170, Jul. 2013.

  21. M. Ozay, I. Esnaola, F.T. Yarman Vural, S. Kulkarni and H.V. Poor, “Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models,” IEEE Journal on Selected Areas in Communications: Smart Grid Communications Series, vol. 31, no. 7, pp. 1306–1318, Jul. 2013.

  22. P. Memmolo, I. Esnaola, A. Finizio, M. Paturzo, P. Ferraro, and A. M. Tulino, “SPADEH: A Sparsity Based Denoising Method of Digital Holograms without Knowing the Noise Statistics,” Optics Express, vol. 20, no. 15, pp. 17250–17257, Jul. 2012.

  23. J. Del Ser, P.M. Crespo, I. Esnaola, and J. Garcia-Frias, “Joint Source-Channel Coding of Sources with Memory using Turbo Codes and the Burrows-Wheeler Transform,” IEEE Transactions on Communications, vol. 58, no. 7, pp. 1984–1992, Jul. 2010.

Conference Publications

  1. F. Daunas, I. Esnaola, S.M. Perlaza and H.V. Poor, "Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences," in Proc. IEEE International Symposium on Information Theory, Athens, Greece, Jul. 2024. [Preprint]

  2. P. Loma-Marconi, P. Trodden, and I. Esnaola, "Stability of Nonlinear Model Predictive Control under Consecutive Packet Losses," in Proc. UKACC International Conference on Control, 2024. [IEEE Xplore]

  3. X. Zou, S.M. Perlaza, I. Esnaola, and E. Altman, “Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024. [Preprint]

  4. P. Trodden, P. Loma-Marconi, and I. Esnaola, "Stability and the Separation Principle in Output-Feedback Stochastic MPC with Random Packet Losses," in International Federation of Automatic Control World Congress, Yokohama, Japan, vol. 56, no. 2, 2023, pp. 3818-3823.

  5. F. Daunas, I. Esnaola, S.M. Perlaza and H.V. Poor, "Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization," in Proc. IEEE International Symposium on Information Theory, Taipei, Taiwan, Jun. 2023, pp. 340-345.

  6. S.M. Perlaza, I. Esnaola, G. Bisson, and H.V. Poor, "The Impact of Data Aggregation on the Validation of the Gibbs Algorithm," in Proc. IEEE International Symposium on Information Theory, Taipei, Taiwan, Jun. 2023, pp. 328-333.

  7. S.M. Perlaza, G. Bisson, I. Esnaola, A. Jean-Marie, and S. Rini, “Empirical Risk Minimization With Relative Entropy Regularization: Optimality and Sensitivity Analysis,” in Proc. IEEE International Symposium on Information Theory, Helsinki, Finland, Jul, 2022, pp. 684-689.

  8. G. Blanco, J. Perez, J. Monsalve, M. Marquez, I. Esnaola, and H. Arguello, “Single Snapshot System for Compressive Covariance Matrix Estimation for Hyperspectral Imaging via Lenslet Array,” in in Proc. XXIII Symposium on Image, Signal Processing and Artificial Vision, Cartagena, Colombia, Sep. 2021, pp. 1–5.

  9. J. Monsalve, M. Marquez, I. Esnaola, and H. Arguello, “Compressive Covariance Matrix Estimation from a Dual-Dispersive Coded Aperture Spectral Imager,” in Proc. IEEE International Conference on Image Processing, Anchorage, AK, Sep. 2021, pp. 2823–2827.

  10. X. Ye, I. Esnaola, S. M. Perlaza, and R. F. Harrison, “Information Theoretic Data Injection Attacks with Sparsity Constraints,” in Proc. IEEE International Conference on Smart Grid Communications, Tempe, AZ, Nov. 2020, pp. 1–6.

  11. Z. Hodgson, I. Esnaola, and B. L. Jones, “Optimal Model-Based Sensor Placement & Adaptive Monitoring Of An Oil Spill,” in Proc. International Federation of Automatic Control World Congress 2020, virtual.

  12. W. Casbolt, I. Esnaola, and B. L. Jones, “Denial of Service Attacks on Control Systems with Packet Loss,” in Proc. International Federation of Automatic Control World Congress 2020, virtual.

  13. M. Arrieta, I. Esnaola, and M. Effros, “Universal Smart Meter Privacy Guarantees,” in Proc. IEEE International Symposium on Information Theory, Paris, France, Jul. 2019.

  14. C. Genes, I. Esnaola, S. M. Perlaza, and D. Coca, “Recovery of Missing Data in Correlated Datasets,” in Proc. IEEE Data Science Workshop, Minneapolis, MN, Jun. 2019. (Invited paper)

  15. K. Sun, I. Esnaola, A.M. Tulino, and H.V. Poor, “Learning Requirements for Stealth Attacks,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Bristol, UK, May 2019. (Invited paper)

  16. M. Arrieta and I. Esnaola, “Smart Meter Privacy via the Trapdoor Channel,” in Proc. IEEE International Conference on Smart Grid Communications, Dresden, Germany, Oct. 2017.

  17. K. Sun, I. Esnaola, S.M. Perlaza, and H. V. Poor, “Information-Theoretic Attacks in the Smart Grid,” in Proc. IEEE International Conference on Smart Grid Communications, Dresden, Germany, Oct. 2017.

  18. V. Quintero, S. M. Perlaza, I. Esnaola, and J. M. Gorce, “Approximated Capacity of the Two-User Gaussian Interference Channel with Noisy Channel-Output Feedback,” in Proc. IEEE Information Theory Workshop, Cambridge, UK, Sep. 2016.

  19. B.L. Jones, P. Heins, and I. Esnaola, “Sea-Surface Reconstruction for Surface Marine Vehicles: A Matrix Completion Approach,” in Proc. UKACC International Conference on Control, Belfast, UK, Aug. 2016.

  20. C. Genes, I. Esnaola, S.M. Perlaza, L. Ochoa, and D. Coca, “Recovering Missing Data via Matrix Completion in Electricity Distribution Systems,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications, Edinburgh, UK, Jul. 2016. (Invited paper)

  21. I. Esnaola, S.M. Perlaza, H.V. Poor, and O. Kosut, “Decentralized MMSE Attacks in Electricity Grids,” in Proc. IEEE Workshop on Statistical Signal Processing, Mallorca, Spain, Jun. 2016. (Invited paper)

  22. V. Quintero, S.M. Perlaza, I. Esnaola, and J.M. Gorce, “When Does Channel-Output Feedback Enlarge the Capacity Region of the Two-User Linear Deterministic Interference Channel?,” in Proc. EAI International Conference on Cognitive Radio Oriented Wireless Networks, Grenoble, France, May 2016.

  23. A. Kiring, N. Salman, C. Liu, I. Esnaola, and L. Mihaylova, “A Shrinkage-based Particle Filter for Tracking with Correlated Measurements,” in Proc. Sensor Data Fusion: Trends, Solutions, Applications, Bonn, Germany, Oct. 2015.

  24. C. Liu, A. Kiring, N. Salman, L. Mihaylova, and I. Esnaola, “A Kriging algorithm for location fingerprinting based on received signal strength,” in Proc. Sensor Data Fusion: Trends, Solutions, Applications, Bonn, Germany, Oct. 2015.

  25. I. Esnaola, S.M. Perlaza, and H.V. Poor, “Equilibria in Data Injection Attacks,” in Proc. IEEE Global Conference on Signal Processing and Information Processing, Atlanta, GA, Dec. 2014. (Invited paper)

  26. Z. Ding, S.M. Perlaza, I. Esnaola, and H.V. Poor, “Simultaneous Information and Power Transfer in Wireless Cooperative Networks,” to appear in Proc. 8th International Conference on Communications and Networking in China, Guilin, China, Aug. 2013. (Invited paper)

  27. I. Esnaola, A.M. Tulino, and H.V. Poor, “A Statistical Physics Approach to the Wiretap Channel,” in Proc. IEEE International Symposium on Information Theory, Istanbul, Turkey, Jul. 2013.

  28. M. Ozay, I. Esnaola, F.T. Yarman Vural, S. Kulkarni and H.V. Poor, “Smarter Security in the Smart Grid,” in Proc. IEEE International Conference on Smart Grid Communications, Tainan, Taiwan, Nov. 2012.

  29. M. Ozay, I. Esnaola, F.T. Yarman Vural, S. Kulkarni and H.V. Poor, “Distributed Models for Sparse Attack Construction and State Vector Estimation in the Smart Grid,” in Proc. IEEE International Conference on Smart Grid Communications, Tainan, Taiwan, Nov. 2012.

  30. I. Esnaola, A.M. Tulino, and H.V. Poor, “Mismatched MMSE Estimation of Multivariate Gaussian Sources,” in Proc. IEEE International Symposium on Information Theory, Cambridge, MA, Jul. 2012.

  31. I. Esnaola, A.M. Tulino, V. Venkatesan and J. Ling, “Channel Estimation Impact over MIMO-MAC Achievable Rates ,” in Proc. IEEE Internation Conference on Communications, Ottawa, Canada, Jun. 2012.

  32. P. Memmolo, I. Esnaola, A. Finizio, M. Paturzo, P. Ferraro and A.M. Tulino, “Universal Denoising of Digital Holograms Using Compressed Sensing,” EOS Topical Meeting on Optical Microsystems, Capri, Italy, Sep. 2011.

  33. I. Esnaola, R.E. Carrillo, J. Garcia-Frias and K.E. Barner, “Orthogonal Matching Pursuit Based Recovery for Correlated Sources with Partially Disjoint Supports ,” in Proc. Conference on Information Sciences and Systems, Princeton, NJ, Mar. 2010.

  34. I. Esnaola and J. Garcia-Frias, “Distributed analog coding of correlated Gaussian sources,” in Proc. Allerton Conference on Communication, Control and Computing, Monticello, IL, Nov. 2009. (Invited paper)

  35. I. Esnaola and J. Garcia-Frias, “Linear Analog Coding of General Multivariate Gaussian Sources,” in Proc. IEEE Information Theory Workshop’, Taormina, Italy, Oct. 2009.

  36. I. Esnaola and J. Garcia-Frias, “Distributed Analog Linear Coding of Correlated Gaussian Sources over Multiple Access Channels,” in Proc. IEEE Internation Symposium on Wireless Communications and Systems, Siena, Italy, Sep. 2009. (Invited paper)

  37. I. Esnaola and J. Garcia-Frias, “Analysis and Optimization of Distributed Linear Coding of Gaussian Sources,” in Proc. Conference on Information Sciences and Systems, Baltimore, MD, Mar. 2009.

  38. I. Esnaola and J. Garcia-Frias, “MMSE Estimation of Distributely Coded Correlated Gaussian Sources Using Random Projections,” Proc. Globecom’08, New Orleans, LA, Dec. 2008.

  39. J. Garcia-Frias and I. Esnaola, “Distributed Compression of Correlated Real Sequences Using Random Projections,” in Proc. IEEE Information Theory Workshop, Porto, Portugal, Mar. 2008.

  40. I. Esnaola and J. Garcia-Frias, “Distributed Compression of Correlated Signals Using Random Projections,” in Proc. Data Compression Conference, Snowbird, UT, Mar. 2008.

  41. J. Garcia-Frias and I. Esnaola, “Exploiting Prior Knowledge in the Recovery of Signals from Noisy Random Projections,” in Proc. Data Compression Conference, Snowbird, UT, Mar. 2007.

  42. I. Esnaola and J. Garcia-Frias, “Exploiting Prior Knowledge in the Recovery of Non-Sparse Signals from Noisy Random Projections,” in Proc. Conference on Information Sciences and Systems, Baltimore, MD, Mar. 2007.

  43. J. Del Ser, P.M. Crespo, I. Esnaola, and J. Garcia-Frias, “Source Controlled Coding of Sources with Memory Using the Burrows Wheeler Transform,” in Proc. International Symposium on Turbo Codes, Munich, Germany, Apr. 2006.

  44. J. Del Ser, I. Esnaola, and P.M. Crespo, “Compresión de Fuentes con memoria mediante códigos LDPC y la Transformada de Burrows-Wheeler,” in Proc. Simposium Nacional de la Unión Científica Internacional de Radio, Gandia, Spain, Sep. 2005.

Book Chapters

  1. I. Esnaola, S.M. Perlaza, and K. Sun, “Data Injection Attacks,” in Data Analytics for Power Systems, Cambridge University Press, 2021, Chapter 9, pp. 197-229.

Patents

  1. A. M. Tulino and I. Esnaola, “Method Apparatus for Low Complexity Robust Reconstruction of Noisy Signals,” U.S. 8,681,902 B2, Mar. 2014.

Technical Reports

  1. S.M. Perlaza, G. Bisson, I. Esnaola, A. Jean-Marie, S. Rini, “Empirical Risk Minimization with Relative Entropy Regularizations,” RR-9454, Inria. 2022. hal-03560072v2. Research Report, INRIA, No. RR-9454, Sophia Antipolis, France, Feb, 2022.

  2. V. Quintero, S.M. Perlaza, I. Esnaola, and J.M. Gorce. “When Does Channel-Output Feedback Enlarge the Capacity Region of the Interference Channel?,” RR-8862, INRIA Grenoble - Rhône-Alpes. 2016, pp.34. hal-01281717v6.

  3. I. Esnaola, S. M. Perlaza, H. V. Poor, and O. Kosut, “Decentralized Maximum Distortion MMSE Attacks in Electricity Grids," 466, INRIA - Research Centre Grenoble - Rhône-Alpes. 2015, pp. 26.

  4. J. Ling, D. Chizhik, A. M. Tulino, and I. Esnaola, “Compressed Sensing Estimation of SCM Urban Channels,” Bell Labs Technical memorandum, September 2011.

  5. A. M. Tulino and I. Esnaola, “Robust Reconstruction of Correlated Sparse Signals from Few Noisy Observations: Information Theoretic Bounds ,” Bell Labs Technical memorandum, August 2011.

  6. I. Esnaola, A. M. Tulino, R. Valenzuela, and T. L. Marzetta, “Channel State Information Acquisition in Wireless Systems Using Distributed Compressed Sensing,” Bell Labs Technical memorandum, November 2010.