A Novel Modular Positive-Sequence Synchrophasor Estimation Algorithm for PMUs. - Francisco Messina; Pablo Marchi; Leonardo Rey Vega; Cecilia G. Galarza; Héctor Laiz (IEEE Trans. Instrum. Meas., 2017)

Optimal Differentiator Filter Banks for PMUs and Their Feasibility Limits. - Francisco Messina; Leonardo Rey Vega; Pablo Marchi; Cecilia G. Galarza (IEEE Trans. Instrum. Meas., 2017)

On steady-state model uncertainty in phasor estimation: A robust statistical approach. - Francisco Messina; Pablo Marchi; Leonardo Rey Vega; Cecilia G. Galarza (I2MTC, 2018)

Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (SmartGridComm, 2019)

Deep Recurrent Adversarial Learning for Privacy-Preserving Smart Meter Data Release. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (CoRR, 2019)

Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (ISGT-Europe, 2020)

On the Impact of Side Information on Smart Meter Privacy-Preserving Methods. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (SmartGridComm, 2020)

A Self-Adaptive Contractive Algorithm for Enhanced Dynamic Phasor Estimation. - Francisco Messina; Pablo Marchi; Leonardo Rey Vega; Cecilia G. Galarza (IEEE Trans. Smart Grid, 2020)

Real-Time Privacy-Preserving Data Release for Smart Meters. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (IEEE Trans. Smart Grid, 2020)

Learning Sparse Privacy-Preserving Representations for Smart Meters Data. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (SmartGridComm, 2021)

Forced Oscillation Identification and Filtering from Multi-Channel Time-Frequency Representation. - Pablo Gill Estevez; Pablo Marchi; Francisco Messina; Cecilia G. Galarza (CoRR, 2021)

Robust Autoencoder-based State Estimation in Power Systems. - Marine Picot; Francisco Javier Messina; Fabrice Labeau; Pablo Piantanida (ISGT, 2022)

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. - Federica Granese; Marine Picot; Marco Romanelli 002; Francisco Messina; Pablo Piantanida (CoRR, 2022)

Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning. - Mohammadhadi Shateri; Francisco Messina; Pablo Piantanida; Fabrice Labeau (IEEE Internet Things J., 2022)

A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. - Marine Picot; Federica Granese; Guillaume Staerman; Marco Romanelli 002; Francisco Messina; Pablo Piantanida; Pierre Colombo (Trans. Mach. Learn. Res., 2023)

Adversarial Robustness Via Fisher-Rao Regularization. - Marine Picot; Francisco Messina; Malik Boudiaf; Fabrice Labeau; Ismail Ben Ayed; Pablo Piantanida (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Preserving Privacy in GANs Against Membership Inference Attack. - Mohammadhadi Shateri; Francisco Messina; Fabrice Labeau; Pablo Piantanida (IEEE Trans. Inf. Forensics Secur., 2024)