Wisam Abbasi

IEEE Trans. Dependable Secur. Comput., 2025

2024

A Provenance-Driven Approach for Detecting Revenue Leakage in Telecom.

[BibT_eX]

[DOI]

Adel Taweel

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

Further Insights: Balancing Privacy, Explainability, and Utility in Machine Learning-based Tabular Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

The Explainability-Privacy-Utility Trade-Off for Machine Learning-Based Tabular Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Privacy-Preserving Object Recognition with Explainability in Smart Systems.

[BibT_eX]

[DOI]

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

2022

Privacy-Preserving Analysis for Remote Video Anomaly Detection in Real Life Environments.

[BibT_eX]

[DOI]

Giacomo Giorgi

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022

Demo: Usage Control using Controlled Privacy Aware Face Recognition.

[BibT_eX]

[DOI]

Arpad Müller

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Privacy vs Accuracy Trade-Off in Privacy Aware Face Recognition in Smart Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Privacy-Preserving Speaker Verification and Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Emerging Technologies for Authorization and Authentication, 2022

2018

Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study.

[BibT_eX]

[DOI]