Anna Monreale

Proceedings of the 21st International Conference on Security and Cryptography, 2024

Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection.

[BibT_eX]

[DOI]

Luca Corbucci

Roberto Pellungrini

Proceedings of the 21st International Conference on Security and Cryptography, 2024

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Requirements of eXplainable AI in Algorithmic Hiring.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on AI bias: Measurements, 2024

Generative Model for Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey on Privacy in Human Mobility.

[BibT_eX]

[DOI]

Roberto Pellungrini

Trans. Data Priv., January, 2023

Processing and Understanding Moodle Log Data and Their Temporal Dimension.

[BibT_eX]

[DOI]

J. Learn. Anal., 2023

Session-Based Time-Window Identification in Virtual Learning Environments.

[BibT_eX]

[DOI]

Aleksandra Maslennikova

J. Learn. Anal., 2023

An Explanation that LASTS: Understanding Any Time Series Classifier.

[BibT_eX]

[DOI]

Francesco Spinnato

ERCIM News, 2023

A Bag of Receptive Fields for Time Series Extrinsic Predictions.

[BibT_eX]

[DOI]

CoRR, 2023

Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Explaining Black-Boxes in Federated Learning.

[BibT_eX]

[DOI]

Luca Corbucci

Proceedings of the Explainable Artificial Intelligence, 2023

Agnostic Label-Only Membership Inference Attack.

[BibT_eX]

[DOI]

Simone Rizzo

Proceedings of the Network and System Security - 17th International Conference, 2023

Data Collection in Automotive: A Deep Analysis of Carmakers' Mobile App Privacy Policies.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Trustworthy AI at KDD Lab.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Geolet: An Interpretable Model for Trajectory Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Vehicle Data Collection: A Privacy Policy Analysis and Comparison.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

The Trajectory Interval Forest Classifier for Trajectory Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Semantic Enrichment of Explanations of AI Models for Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

Modeling Adversarial Behavior Against Mobility Data Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias.

[BibT_eX]

[DOI]

CoRR, 2022

Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles.

[BibT_eX]

[DOI]

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities.

[BibT_eX]

[DOI]

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments.

[BibT_eX]

[DOI]

Aleksandra Maslennikova

Proceedings of the 26th International Conference Information Visualisation, 2022

Privacy Risk of Global Explainers.

[BibT_eX]

[DOI]

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Monitoring Fairness in HOLDA.

[BibT_eX]

[DOI]

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Uncovering Student Temporal Learning Patterns.

[BibT_eX]

[DOI]

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Evaluating the Privacy Exposure of Interpretable Global Explainers.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

MulBot: Unsupervised Bot Detection Based on Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

A Modularized Framework for Explaining Black Box Classifiers for Text Data.

[BibT_eX]

[DOI]

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

Correction to: An ethico-legal framework for social data science.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2021

An ethico-legal framework for social data science.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2021

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.

[BibT_eX]

[DOI]

Ethics Inf. Technol., 2021

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals.

[BibT_eX]

[DOI]

Michele Resta

Davide Bacciu

Entropy, 2021

GLocalX - From Local to Global Explanations of Black Box AI Models.

[BibT_eX]

[DOI]

Artif. Intell., 2021

A new approach for cross-silo federated learning and its privacy risks.

[BibT_eX]

[DOI]

Michele Fontana

Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

Privacy Risk Assessment of Individual Psychometric Profiles.

[BibT_eX]

[DOI]

Giacomo Mariani

Proceedings of the Discovery Science - 24th International Conference, 2021

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers.

[BibT_eX]

[DOI]

Valerio Bonsignori

Proceedings of the Discovery Science - 24th International Conference, 2021

TRIPLEx: Triple Extraction for Explanation.

[BibT_eX]

[DOI]

Mattia Setzu

Pasquale Minervini

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

From depression to suicidal discourse on Reddit.

[BibT_eX]

[DOI]

Benedetta Iavarone

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Designing Shapelets for Interpretable Data-Agnostic Classification.

[BibT_eX]

[DOI]

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

A modularized framework for explaining hierarchical attention networks on text classifiers.

[BibT_eX]

[DOI]

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

Explaining Multi-label Black-Box Classifiers for Health Applications.

[BibT_eX]

[DOI]

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Authenticated Outlier Mining for Outsourced Databases.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2020

PRIMULE: Privacy risk mitigation for user profiles.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.

[BibT_eX]

[DOI]

CoRR, 2020

Data-Agnostic Local Neighborhood Generation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Predicting and Explaining Privacy Risk Exposure in Mobility Data.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 23rd International Conference, 2020

Explaining Any Time Series Classifier.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Guest editors' foreword.

[BibT_eX]

[DOI]

Vashti Galpin

Paolo Milazzo

J. Log. Algebraic Methods Program., 2019

Factual and Counterfactual Explanations for Black Box Decision Making.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2019

The AI Black Box Explanation Problem.

[BibT_eX]

[DOI]

ERCIM News, 2019

A Survey of Methods for Explaining Black Box Models.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2019

Global Explanations with Local Scoring.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers.

[BibT_eX]

[DOI]

Leonardo Cariaggi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Research and Development, 2019

Meaningful Explanations of Black Box AI Decision Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Privacy by Design for Mobility Data Analytics.

[BibT_eX]

[DOI]

Francesca Pratesi

Proceedings of the Handbook of Mobile Data Privacy., 2018

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems.

[BibT_eX]

[DOI]

Trans. Data Priv., 2018

Discovering temporal regularities in retail customers' shopping behavior.

[BibT_eX]

[DOI]

EPJ Data Sci., 2018

Open the Black Box Data-Driven Explanation of Black Box Decision Systems.

[BibT_eX]

[DOI]

CoRR, 2018

Local Rule-Based Explanations of Black Box Decision Systems.

[BibT_eX]

[DOI]

CoRR, 2018

A Survey Of Methods For Explaining Black Box Models.

[BibT_eX]

[DOI]

CoRR, 2018

Analyzing Privacy Risk in Human Mobility Data.

[BibT_eX]

[DOI]

Proceedings of the Software Technologies: Applications and Foundations, 2018

Privacy Risk for Individual Basket Patterns.

[BibT_eX]

[DOI]

Roberto Pellungrini

Proceedings of the ECML PKDD 2018 Workshops, 2018

Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2018 Workshops, 2018

Learning Data Mining.

[BibT_eX]

[DOI]

Salvatore Rinzivillo

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science.

[BibT_eX]

[DOI]

Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017

MyWay: Location prediction via mobility profiling.

[BibT_eX]

[DOI]

Inf. Syst., 2017

Fast Estimation of Privacy Risk in Human Mobility Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security, 2017

Clustering Individual Transactional Data for Masses of Users.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Privacy Preserving Multidimensional Profiling.

[BibT_eX]

[DOI]

Proceedings of the Smart Objects and Technologies for Social Good, 2017

2016

Partition-Based Clustering Using Constraint Optimization.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Constraint Programming, 2016

Driving Profiles Computation and Monitoring for Car Insurance CRM.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2016

Unveiling mobility complexity through complex network analysis.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Privacy-Preserving Outsourcing of Data Mining.

[BibT_eX]

[DOI]

Wendy Hui Wang

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

2015

Discrimination- and privacy-aware patterns.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Clustering Formulation Using Constraint Optimization.

[BibT_eX]

[DOI]

Proceedings of the Software Engineering and Formal Methods, 2015

Quantification in social networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Privacy-by-design in big data analytics and social mining.

[BibT_eX]

[DOI]

EPJ Data Sci., 2014

Anonymity preserving sequential pattern mining.

[BibT_eX]

[DOI]

Artif. Intell. Law, 2014

Retrieving Points of Interest from Human Systematic Movements.

[BibT_eX]

[DOI]

Proceedings of the Software Engineering and Formal Methods, 2014

Fair pattern discovery.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

A Privacy Risk Model for Trajectory Data.

[BibT_eX]

[DOI]

Proceedings of the Trust Management VIII - 8th IFIP WG 11.11 International Conference, 2014

CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013

Multidimensional networks: foundations of structural analysis.

[BibT_eX]

[DOI]

World Wide Web, 2013

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases.

[BibT_eX]

[DOI]

Laks V. S. Lakshmanan

Wendy Hui Wang

IEEE Syst. J., 2013

Evolving networks: Eras and turning points.

[BibT_eX]

[DOI]

Intell. Data Anal., 2013

Privacy-Aware Distributed Mobility Data Analytics.

[BibT_eX]

Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

On multidimensional network measures.

[BibT_eX]

Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Quantification Trees.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Privacy-Preserving Distributed Movement Data Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Geographic Information Science at the Heart of Europe, 2013

Anonymity: A Comparison Between the Legal and Computer Science Perspectives.

[BibT_eX]

[DOI]

Proceedings of the European Data Protection: Coming of Age, 2013

Mobility Data and Privacy.

[BibT_eX]

Proceedings of the Mobility Data: Modeling, 2013

2012

Classifying Trust/Distrust Relationships in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Privacy, 2012

AUDIO: An Integrity <i>Audi</i>ting Framework of <i>O</i>utlier-Mining-as-a-Service Systems.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Injecting Discrimination and Privacy Awareness Into Pattern Discovery.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Privacy by Design in Data Mining.

[BibT_eX]

[DOI]

PhD thesis, 2011

C-safety: a framework for the anonymization of semantic trajectories.

[BibT_eX]

[DOI]

Trans. Data Priv., 2011

The pursuit of hubbiness: Analysis of hubs in large multidimensional networks.

[BibT_eX]

[DOI]

J. Comput. Sci., 2011

Foundations of Multidimensional Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Privacy-Preserving Data Mining from Outsourced Databases.

[BibT_eX]

[DOI]

Laks V. S. Lakshmanan