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researcher

Aitor Urbieta

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR3
ORCID 0000-0001-5836-4198

identity via Semantic Scholar / OpenAlex

most citedOn the Security & Privacy in Federated Learning

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2024

Penetration Testing of 5G Core Network Web Technologies

Filippo Giambartolomei, Marc Barceló, Alessandro Brighente +2

Thanks to technologies such as virtual network function the Fifth Generation (5G) of mobile networks dynamically allocate resources to different types of users in an on-demand fash…

cs.CR2024★ 1 cited

Time-Distributed Backdoor Attacks on Federated Spiking Learning

Gorka Abad, Stjepan Picek, Aitor Urbieta

This paper investigates the vulnerability of spiking neural networks (SNNs) and federated learning (FL) to backdoor attacks using neuromorphic data. Despite the efficiency of SNNs…

cs.CR2021★ 3 cited

On the Security & Privacy in Federated Learning

Gorka Abad, Stjepan Picek, Víctor Julio Ramírez-Durán +1

Recent privacy awareness initiatives such as the EU General Data Protection Regulation subdued Machine Learning (ML) to privacy and security assessments. Federated Learning (FL) gr…

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