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2020 – today
- 2024
[c8]Wisam Abbasi
, Paolo Mori, Andrea Saracino:
Further Insights: Balancing Privacy, Explainability, and Utility in Machine Learning-based Tabular Data Analysis. ARES 2024: 176:1-176:10- [c7]Wisam Abbasi, Adel Taweel, Andrea Saracino:
A Provenance-Driven Approach for Detecting Revenue Leakage in Telecom. EuroS&P Workshops 2024: 574-582 - 2023
- [c6]Wisam Abbasi, Paolo Mori, Andrea Saracino:
Privacy-Preserving Object Recognition with Explainability in Smart Systems. ESORICS Workshops (2) 2023: 519-534 - [c5]Wisam Abbasi, Paolo Mori, Andrea Saracino:
The Explainability-Privacy-Utility Trade-Off for Machine Learning-Based Tabular Data Analysis. SECRYPT 2023: 511-519 - 2022
- [j1]Giacomo Giorgi, Wisam Abbasi, Andrea Saracino:
Privacy-Preserving Analysis for Remote Video Anomaly Detection in Real Life Environments. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13(1): 112-136 (2022) - [c4]Wisam Abbasi:
Privacy-Preserving Speaker Verification and Speech Recognition. ETAA 2022: 102-119 - [c3]Wisam Abbasi, Paolo Mori, Andrea Saracino, Valerio Frascolla:
Privacy vs Accuracy Trade-Off in Privacy Aware Face Recognition in Smart Systems. ISCC 2022: 1-8 - [c2]Arpad Müller, Wisam Abbasi, Andrea Saracino:
Demo: Usage Control using Controlled Privacy Aware Face Recognition. ISCC 2022: 1-3
2010 – 2019
- 2018
- [c1]Wisam Abbasi, Adel Taweel:
Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study. IPAW 2018: 204-207
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