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Najeeb Jebreel
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2020 – today
- 2024
- [j4]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
LFighter: Defending against the label-flipping attack in federated learning. Neural Networks 170: 111-126 (2024) - [j3]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez:
Enhanced Security and Privacy via Fragmented Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6703-6717 (2024) - [c9]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li:
Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract). IJCAI 2024: 8416-8420 - [c8]David Sánchez, Najeeb Jebreel, Krishnamurty Muralidhar, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. PSD 2024: 213-224 - [i6]Alberto Blanco-Justicia, Najeeb Jebreel, Benet Manzanares-Salor, David Sánchez, Josep Domingo-Ferrer, Guillem Collell, Kuan Eeik Tan:
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods. CoRR abs/2404.02062 (2024) - 2023
- [b1]Najeeb Jebreel:
Protecting Models and Data in Federated and Centralized Learning. University of Rovira i Virgili, Spain, 2023 - [j2]Najeeb Moharram Jebreel, Josep Domingo-Ferrer:
FL-Defender: Combating targeted attacks in federated learning. Knowl. Based Syst. 260: 110178 (2023) - [c7]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li:
Defending Against Backdoor Attacks by Layer-wise Feature Analysis. PAKDD (2) 2023: 428-440 - [i5]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li:
Defending Against Backdoor Attacks by Layer-wise Feature Analysis. CoRR abs/2302.12758 (2023) - [i4]David Sánchez, Najeeb Jebreel, Josep Domingo-Ferrer, Krishnamurty Muralidhar, Alberto Blanco-Justicia:
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata. CoRR abs/2311.03171 (2023) - 2022
- [j1]Rami Haffar, Najeeb Jebreel, David Sánchez, Josep Domingo-Ferrer:
Generating Deep Learning Model-Specific Explanations at the End User's Side. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(Supplement-2): 255-278 (2022) - [c6]Rami Haffar, Ashneet Khandpur Singh, Josep Domingo-Ferrer, Najeeb Jebreel:
Measuring Fairness in Machine Learning Models via Counterfactual Examples. MDAI 2022: 119-131 - [c5]Alberto Blanco-Justicia, Najeeb Moharram Jebreel, Jesús A. Manjón, Josep Domingo-Ferrer:
Generation of Synthetic Trajectory Microdata from Language Models. PSD 2022: 172-187 - [i3]Najeeb Jebreel, Josep Domingo-Ferrer:
FL-Defender: Combating Targeted Attacks in Federated Learning. CoRR abs/2207.00872 (2022) - [i2]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
Defending against the Label-flipping Attack in Federated Learning. CoRR abs/2207.01982 (2022) - [i1]Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez:
Enhanced Security and Privacy via Fragmented Federated Learning. CoRR abs/2207.05978 (2022) - 2021
- [c4]Rami Haffar, Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez:
Explaining Image Misclassification in Deep Learning via Adversarial Examples. MDAI 2021: 323-334 - 2020
- [c3]Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez, Najeeb Jebreel:
Co-Utile Peer-to-Peer Decentralized Computing. CCGRID 2020: 31-40 - [c2]Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer:
Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases. MDAI 2020: 154-165 - [c1]Najeeb Moharram Jebreel, Rami Haffar, Ashneet Khandpur Singh, David Sánchez, Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. PSD 2020: 309-320
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last updated on 2024-10-21 20:31 CEST by the dblp team
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