Nuria Rodríguez Barroso
Orcid: 0000-0001-7172-9059
According to our database1,
Nuria Rodríguez Barroso
authored at least 18 papers
between 2018 and 2025.
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Bibliography
2025
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work.
CoRR, July, 2025
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection.
CoRR, May, 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity.
CoRR, March, 2025
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning.
CoRR, February, 2025
Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance.
Knowl. Based Syst., 2025
2024
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.
IEEE CAA J. Autom. Sinica, April, 2024
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing.
Trans. Assoc. Comput. Linguistics, 2024
RAB<sup>2</sup>-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients.
CoRR, 2024
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024
2023
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.
Inf. Fusion, 2023
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.
CoRR, 2023
2022
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification.
Knowl. Based Syst., 2022
Future Gener. Comput. Syst., 2022
2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy.
Inf. Fusion, 2020
2019
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019
2018
SCI<sup>2</sup>S at TASS 2018: Emotion Classification with Recurrent Neural Networks.
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018