Roberto Pellungrini

Orcid: 0000-0003-3268-9271

According to our database1, Roberto Pellungrini authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Analyzing and explaining privacy risks on time series data: ongoing work and challenges.
SIGKDD Explor., June, 2024

Bridging the Gap in Hybrid Decision-Making Systems.
CoRR, 2024

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems.
CoRR, 2024

TrajectGuard: A Comprehensive Privacy-Risk Framework for Multiple-Aspects Trajectories.
IEEE Access, 2024

XAI.it 2024: An Overview on the Future of AI in the Era of Large Language Models.
Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence, 2024

Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection.
Proceedings of the 21st International Conference on Security and Cryptography, 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

XAI in Healthcare.
Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024), 2024

2023
A Survey on Privacy in Human Mobility.
Trans. Data Priv., January, 2023

Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic.
Proceedings of the Explainable Artificial Intelligence, 2023


EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Modeling Adversarial Behavior Against Mobility Data Privacy.
IEEE Trans. Intell. Transp. Syst., 2022

scikit-mobility: A <i>Python</i> Library for the Analysis, Generation, and Risk Assessment of Mobility Data.
J. Stat. Softw., 2022

2021
Privacy Risk and Data Utility Assessment on Network Data.
Proceedings of the From Data to Models and Back, 2021

2020
Modeling & Predicting Privacy Risk in Personal Data.
PhD thesis, 2020

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Predicting and Explaining Privacy Risk Exposure in Mobility Data.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Human Mobility from theory to practice: Data, Models and Applications.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2018
A Data Mining Approach to Assess Privacy Risk in Human Mobility Data.
ACM Trans. Intell. Syst. Technol., 2018

Analyzing Privacy Risk in Human Mobility Data.
Proceedings of the Software Technologies: Applications and Foundations, 2018

Privacy Risk for Individual Basket Patterns.
Proceedings of the ECML PKDD 2018 Workshops, 2018

2017
Fast Estimation of Privacy Risk in Human Mobility Data.
Proceedings of the Computer Safety, Reliability, and Security, 2017

Assessing Privacy Risk in Retail Data.
Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017


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