Fatima Ezzeddine

According to our database, Fatima Ezzeddine authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Explanations Leak: Membership Inference with Differential Privacy and Active Learning Defense.

Fatima Ezzeddine, Osama Zammar, Silvia Giordano, Omran Ayoub

CoRR, February, 2026

Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations.

Fatima Ezzeddine, Obaida Ammar, Silvia Giordano, Omran Ayoub

CoRR, January, 2026

2025

On the Interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction.

Fatima Ezzeddine, Rinad Akel, Ihab Sbeity, Silvia Giordano, Marc Langheinrich, Omran Ayoub

Proceedings of the Joint Proceedings of the xAI 2025 Late-breaking Work, 2025

Towards Better-Calibrated ML Models for Reliable Network Intrusion Detection via Calibration-Aware SHAP-Based Feature Selection.

Hussein Fawaz, Fatima Ezzeddine, Silvia Giordano, Omran Ayoub

Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising.

Tomasz Szandala, Fatima Ezzeddine, Natalia Rusin, Silvia Giordano, Omran Ayoub

Proceedings of the IEEE Swiss Conference on Data Science, 2025

2024

Knowledge Distillation-Based Model Extraction Attack using Private Counterfactual Explanations.

Fatima Ezzeddine, Omran Ayoub, Silvia Giordano

CoRR, 2024

Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability.

Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano

Proceedings of the Explainable Artificial Intelligence, 2024

Privacy Implications of Explainable AI in Data-Driven Systems.

Fatima Ezzeddine

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023

Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls.

Fatima Ezzeddine, Omran Ayoub, Silvia Giordano, Gianluca Nogara, Ihab Sbeity, Emilio Ferrara, Luca Luceri

EPJ Data Sci., December, 2023

SAC-FACT: Soft Actor-Critic Reinforcement Learning for Counterfactual Explanations.

Fatima Ezzeddine, Omran Ayoub, Davide Andreoletti, Silvia Giordano

Proceedings of the Explainable Artificial Intelligence, 2023

ML-based Network Pruning for Routing Data Overhead Reduction in Wireless Sensor Networks.

Davide Andreoletti, Cristina Rottondi, Fatima Ezzeddine, Omran Ayoub, Silvia Giordano

Proceedings of the 18th Wireless On-Demand Network Systems and Services Conference, 2023

Vertical Split Learning-Based Identification and Explainable Deep Learning-Based Localization of Failures in Multi-Domain NFV Systems.

Fatima Ezzeddine, Omran Ayoub, Davide Andreoletti, Massimo Tornatore, Silvia Giordano

Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

2022

How "troll" are you? Measuring and detecting troll behavior in online social networks.

Fatima Ezzeddine, Luca Luceri, Omran Ayoub, Ihab Sbeity, Gianluca Nogara, Emilio Ferrara, Silvia Giordano

CoRR, 2022

Explainable Artificial Intelligence in communication networks: A use case for failure identification in microwave networks.

Omran Ayoub, Nicola Di Cicco, Fatima Ezzeddine, Federica Bruschetta, Roberto Rubino, Massimo Nardecchia, Michele Milano, Francesco Musumeci, Claudio Passera, Massimo Tornatore

Comput. Networks, 2022

Tantrum-Track: Context and Ontological Representation Model for Recommendation and Tracking Services for People with Autism.

Hamid Mcheick, Fatima Ezzeddine, Fatima Lakkis, Batoul Msheik, Mariam Ezzeddine

Proceedings of the Intelligent Systems and Applications, 2022

On Using Explainable Artificial Intelligence for Failure Identification in Microwave Networks.

Omran Ayoub, Francesco Musumeci, Fatima Ezzeddine, Claudio Passera, Massimo Tornatore

Proceedings of the 25th Conference on Innovation in Clouds, Internet and Networks, 2022