1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2025★ 1 cited
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
Francisco Aguilera-Martínez, Fernando Berzal
As large language models (LLMs) continue to evolve, it is critical to assess the security threats and vulnerabilities that may arise both during their training phase and after mode…
cs.LG2024
Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization
Francisco Aguilera-Martínez, Fernando Berzal
Training machine learning models based on neural networks requires large datasets, which may contain sensitive information. The models, however, should not expose private informati…