Francesco Luigi De Faveri

According to our database, Francesco Luigi De Faveri authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

Evaluating Multi-Dimensional Cumulated Utility in Information Retrieval.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Järvelin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

A Comparative Study of Large Language Models and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

QuIPU: Evaluating Actual Privacy of Obfuscated Queries.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

Privacy of Textual Data: The pyPANTERA Package.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

Preserving Privacy When Processing User Queries in IR.

Francesco Luigi De Faveri

Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

MDCU: A Multi-Dimensional Cumulative Utility Metric for Information Retrieval.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Järvelin

Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

Comparing LLMs and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

Measuring Actual Privacy of Obfuscated Queries in Information Retrieval.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the Advances in Information Retrieval, 2025

Towards Query Obfuscation Strategies for Information Retrieval.

Francesco Luigi De Faveri

Proceedings of the Advances in Information Retrieval, 2025

DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language Processing.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

CoRR, 2024

"Dead or Alive, we can deny it". A Differentially Private Approach to Survival Analysis.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Riccardo Spizzo

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Beyond the Parameters: Measuring Actual Privacy in Obfuscated Texts.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

SEUPD@CLEF: Team MOUSE on Enhancing Search Engines Effectiveness with Large Language Models.

Lorenzo Cazzador, Francesco Luigi De Faveri, Filippo Franceschini, Lorenzo Pamio, Samuel Piron, Nicola Ferro

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

pyPANTERA: A Python PAckage for Natural language obfuscaTion Enforcing pRivacy & Anonymization.

Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Twitter Bots Influence on the Russo-Ukrainian War During the 2022 Italian General Elections.

Francesco Luigi De Faveri, Luca Cosuti, Pier Paolo Tricomi, Mauro Conti

Proceedings of the Security and Privacy in Social Networks and Big Data, 2023