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Francisco Herrera

Andalusian Institute of Data Science and Computational Intelligence

A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models

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Apr 07, 2025
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An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability

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Apr 06, 2025
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STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability

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Apr 03, 2025
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Improving $(α, f)$-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance

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Mar 27, 2025
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Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity

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Mar 12, 2025
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Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning

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Feb 10, 2025
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The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways

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Jan 13, 2025
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RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients

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Oct 10, 2024
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A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems

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Oct 04, 2024
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Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting

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Oct 04, 2024
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