Nuria Rodríguez Barroso

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Emotion Classification

Learning Models

Differential Privacy

Top Venues

Future Gener. Comput. Syst.

Publications

Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. FUZZ (2024)
Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón
FLEX: FLEXible Federated Learning Framework. CoRR (2024)
María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11 (4) (2024)
Nuria Rodríguez Barroso, Eugenio Martínez Cámara, José Camacho-Collados, María Victoria Luzón, Francisco Herrera
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. Trans. Assoc. Comput. Linguistics 12 (2024)
Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning. CoRR (2023)
Nuria Rodríguez Barroso, Daniel Jiménez-López, M. Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. Inf. Fusion 90 (2023)
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón, Francisco Herrera
Dynamic defense against byzantine poisoning attacks in federated learning. Future Gener. Comput. Syst. 133 (2022)
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón, Francisco Herrera
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. Knowl. Based Syst. 245 (2022)
Nuria Rodríguez Barroso, Daniel Jiménez-López, M. Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. CoRR (2022)
Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. CoRR (2020)
Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. Inf. Fusion 64 (2020)
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera
Dynamic Federated Learning Model for Identifying Adversarial Clients. CoRR (2020)
Eugenio Martínez Cámara, Nuria Rodríguez Barroso, Antonio R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. FedCSIS (2019)
Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, Francisco Herrera
S at TASS 2018: Emotion Classification with Recurrent Neural Networks. TASS@SEPLN (2018)