Najeeb Jebreel

CoRR, March, 2026

Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions.

[BibT_eX]

[DOI]

CoRR, March, 2026

2025

Efficient Unlearning with Privacy Guarantees.

[BibT_eX]

[DOI]

CoRR, July, 2025

Digital forgetting in large language models: a survey of unlearning methods.

[BibT_eX]

[DOI]

Benet Manzanares-Salor

Artif. Intell. Rev., March, 2025

Unlearning in Large Language Models: We Are Not There Yet.

[BibT_eX]

[DOI]

Benet Manzanares-Salor

Computer, January, 2025

DP2Unlearning: An efficient and guaranteed unlearning framework for LLMs.

[BibT_eX]

[DOI]

Neural Networks, 2025

Defenses Against Membership Inference Attacks on Unlearned Data.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2025

Membership Inference Attacks Beyond Overfitting.

[BibT_eX]

[DOI]

Mona Khalil

Proceedings of the Computer Security. ESORICS 2025 International Workshops, 2025

2024

Enhanced Security and Privacy via Fragmented Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

LFighter: Defending against the label-flipping attack in federated learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata.

[BibT_eX]

[DOI]

Krishnamurty Muralidhar

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract).

[BibT_eX]

[DOI]

Yiming Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Protecting Models and Data in Federated and Centralized Learning

[BibT_eX]

[DOI]

PhD thesis, 2023

FL-Defender: Combating targeted attacks in federated learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Defending Against Backdoor Attacks by Layer-wise Feature Analysis.

[BibT_eX]

[DOI]

Yiming Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Generating Deep Learning Model-Specific Explanations at the End User's Side.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., December, 2022

Defending against the Label-flipping Attack in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Generation of Synthetic Trajectory Microdata from Language Models.

[BibT_eX]

[DOI]

Jesús A. Manjón

Proceedings of the Privacy in Statistical Databases - International Conference, 2022

Measuring Fairness in Machine Learning Models via Counterfactual Examples.

[BibT_eX]

[DOI]

Rami Haffar

Ashneet Khandpur Singh

Proceedings of the Modeling Decisions for Artificial Intelligence, 2022

2021

Explaining Image Misclassification in Deep Learning via Adversarial Examples.

[BibT_eX]

[DOI]

Rami Haffar

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020

Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning.

[BibT_eX]

[DOI]

Rami Haffar

Ashneet Khandpur Singh

Proceedings of the Privacy in Statistical Databases, 2020

Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Co-Utile Peer-to-Peer Decentralized Computing.

[BibT_eX]

[DOI]