Najeeb Jebreel

Orcid: 0000-0002-4911-3802

According to our database1, Najeeb Jebreel authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Enhanced Security and Privacy via Fragmented Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

LFighter: Defending against the label-flipping attack in federated learning.
Neural Networks, 2024

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods.
CoRR, 2024

An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024

Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Protecting Models and Data in Federated and Centralized Learning
PhD thesis, 2023

FL-Defender: Combating targeted attacks in federated learning.
Knowl. Based Syst., 2023

Defending Against Backdoor Attacks by Layer-wise Feature Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
Generating Deep Learning Model-Specific Explanations at the End User's Side.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., December, 2022

Defending against the Label-flipping Attack in Federated Learning.
CoRR, 2022

Generation of Synthetic Trajectory Microdata from Language Models.
Proceedings of the Privacy in Statistical Databases - International Conference, 2022

Measuring Fairness in Machine Learning Models via Counterfactual Examples.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2022

2021
Explaining Image Misclassification in Deep Learning via Adversarial Examples.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020
Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning.
Proceedings of the Privacy in Statistical Databases, 2020

Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Co-Utile Peer-to-Peer Decentralized Computing.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020


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