Sort by
Refine Your Search
-
Large Language Models (LLMs), integrating dataset expansion, evaluation, incremental fine-tuning, and security-aware code generation validation. The student will build an integrated pipeline that reuses
-
refine, formalize, and extend an existing perturbation methodology to construct a principled, security-aware dataset of real-world vulnerable and secure JavaScript code. The work plan includes: 1
-
models. Misclassification Characterization (Month 4-5) Construct an augmented misclassification dataset containing: original and perturbed variants, model predictions, correct labels, perturbation type
-
of August (Scientific Research Fellow Status) in its current wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179 Regulations for Research Grants of the Foundation for Science and
-
– Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 13 to 26 February 2026 WHO WE