activity
20232026
collaborators

5 papers

cs.ET2026

A Human-LLM Teaming Framework for Privacy Risk Analysis: An Illustration with CBDC-Based Welfare Schemes

Sourya Joyee De, Abdessamad Imine

Central Bank Digital Currency (CBDC)-based welfare schemes may be potentially privacy invasive as they process significant volumes of beneficiary personal data and lead to privacy…

cs.DB2025

RIPOST: Two-Phase Private Decomposition for Multidimensional Data

Ala Eddine Laouir, Abdessamad Imine

Differential privacy (DP) is considered as the gold standard for data privacy. While the problem of answering simple queries and functions under DP guarantees has been thoroughly a…

cs.DB2024

Private Approximate Query over Horizontal Data Federation

Ala Eddine Laouir, Abdessamad Imine

In many real-world scenarios, multiple data providers need to collaboratively perform analysis of their private data. The challenges of these applications, especially at the big da…

cs.CL2024

Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?

Wail Zellagui, Abdessamad Imine, Yamina Tadjeddine

Recent advances in the field of large language models (LLMs), particularly the ChatGPT family, have given rise to a powerful and versatile machine interlocutor, packed with knowled…

cs.SE2023

Developers Need Protection, Too: Perspectives and Research Challenges for Privacy in Social Coding Platforms

Nicolás E. Díaz Ferreyra, Abdessamad Imine, Melina Vidoni +1

Social Coding Platforms (SCPs) like GitHub have become central to modern software engineering thanks to their collaborative and version-control features. Like in mainstream Online…