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 (SocialSec, 2023)

pyPANTERA: A Python PAckage for Natural language obfuscaTion Enforcing pRivacy & Anonymization. - Francesco Luigi De Faveri; Guglielmo Faggioli; Nicola Ferro 001 (CIKM, 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 001 (CLEF (Working Notes), 2024)

Beyond the Parameters: Measuring Actual Privacy in Obfuscated Texts. - Francesco Luigi De Faveri; Guglielmo Faggioli; Nicola Ferro 001 (IIR, 2024)

"Dead or Alive, we can deny it". A Differentially Private Approach to Survival Analysis. - Francesco Luigi De Faveri; Guglielmo Faggioli; Nicola Ferro 001; Riccardo Spizzo (SEBD, 2024)

Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy. - Francesco Luigi De Faveri; Guglielmo Faggioli; Nicola Ferro 001 (CoRR, 2024)

Towards Query Obfuscation Strategies for Information Retrieval. - Francesco Luigi De Faveri (ECIR (5), 2025)

Measuring Actual Privacy of Obfuscated Queries in Information Retrieval. - Francesco Luigi De Faveri; Guglielmo Faggioli; Nicola Ferro 001 (ECIR (1), 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 001 (SIGIR, 2025)

Evaluating Multi-Dimensional Cumulated Utility in Information Retrieval. - Francesco Luigi De Faveri; Guglielmo Faggioli; Nicola Ferro 001; Kalervo Järvelin (SIGIR, 2025)