most citedAutomated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2022★ 2 cited

QuantumSolver: A quantum tool-set for developers

Daniel Escanez-Exposito, Pino Caballero-Gil, Francisco Martin-Fernandez

This paper introduces a new opensource quantum tool-set called QuantumSolver based on Qiskit to help developers without knowledge in quantum computing. The developed library includ…

cs.NI2022

Revocation management in vehicular ad-hoc networks

F Martín-Fernández, P Caballero-Gil, C Caballero-Gil

This paper describes a solution for the efficient management of revocation in vehicular ad-hoc networks, for both certificate-based and identity-based authentication. It proposes t…

cs.CR2022

Analysis of the new standard hash function

F Martín-Fernández, P Caballero-Gil

On 2 October 2012 the NIST (National Institute of Standards and Technology) in the United States of America announced the new hashing algorithm which will be adopted as stan…

cs.CR2022

Poster: Revocation in VANETs Based on k-ary Huffman Trees

Francisco Martín-Fernández, Pino Caballero-Gil, Cándido Caballero-Gil

One of the biggest problems of vehicular ad-hoc networks is revocation. The efficient management of such issue has become one of the major paradigms in this area of research. A sol…

cs.CR2022★ 1 cited

Using query frequencies in tree-based revocation for certificateless authentication in VANETs

Pino Caballero-Gil, Francisco Martín-Fernández, Cándido Caballero-Gil

Revocation of dishonest users is not an easy problem. This paper proposes a new way to manage revocation of pseudonyms in vehicular ad-hoc networks when using identity-based authen…

cs.CL2020★ 3 cited

Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches

Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martin-Fernandez +1

In recent years, the use of deep learning in language models gained much attention. Some research projects claim that they can generate text that can be interpreted as human-writin…