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researcher

Najeeb Jebreel

3 papers here

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

author position
  • first author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR3
ORCID 0000-0002-4911-3802

identity via Semantic Scholar / OpenAlex

most citedEnhanced Security and Privacy via Fragmented Federated Learning

48 citations · 74 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2023★ 1 cited

Defending Against Backdoor Attacks by Layer-wise Feature Analysis

Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li

Training deep neural networks (DNNs) usually requires massive training data and computational resources. Users who cannot afford this may prefer to outsource training to a third pa…

cs.CR2022★ 25 cited

Defending against the Label-flipping Attack in Federated Learning

Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez +1

Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in th…

cs.CR2022★ 48 cited

Enhanced Security and Privacy via Fragmented Federated Learning

Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia +1

In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconcili…

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