Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study. - Wisam Abbasi; Adel Taweel (IPAW, 2018)

Privacy-Preserving Speaker Verification and Speech Recognition. - Wisam Abbasi (ETAA, 2022)

Privacy vs Accuracy Trade-Off in Privacy Aware Face Recognition in Smart Systems. - Wisam Abbasi; Paolo Mori; Andrea Saracino; Valerio Frascolla (ISCC, 2022)

Demo: Usage Control using Controlled Privacy Aware Face Recognition. - Arpad Müller; Wisam Abbasi; Andrea Saracino (ISCC, 2022)

Privacy-Preserving Analysis for Remote Video Anomaly Detection in Real Life Environments. - Giacomo Giorgi; Wisam Abbasi; Andrea Saracino (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022)

Privacy-Preserving Object Recognition with Explainability in Smart Systems. - Wisam Abbasi; Paolo Mori; Andrea Saracino (ESORICS Workshops (2), 2023)

The Explainability-Privacy-Utility Trade-Off for Machine Learning-Based Tabular Data Analysis. - Wisam Abbasi; Paolo Mori; Andrea Saracino (SECRYPT, 2023)

Further Insights: Balancing Privacy, Explainability, and Utility in Machine Learning-based Tabular Data Analysis. - Wisam Abbasi; Paolo Mori; Andrea Saracino (ARES, 2024)

A Provenance-Driven Approach for Detecting Revenue Leakage in Telecom. - Wisam Abbasi; Adel Taweel; Andrea Saracino (EuroS&P Workshops, 2024)

Trading-Off Privacy, Utility, and Explainability in Deep Learning-Based Image Data Analysis. - Wisam Abbasi; Paolo Mori; Andrea Saracino (IEEE Trans. Dependable Secur. Comput., 2025)