Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. - Ruggero G. Pensa; Anna Monreale; Fabio Pinelli; Dino Pedreschi (PiLBA, 2008)

Location prediction within the mobility data analysis environment DAEDALUS. - Fabio Pinelli; Anna Monreale; Roberto Trasarti; Fosca Giannotti (MobiQuitous, 2008)

Movement data anonymity through generalization. - Gennady L. Andrienko; Natalia V. Andrienko; Fosca Giannotti; Anna Monreale; Dino Pedreschi (SPRINGL, 2009)

WhereNext: a location predictor on trajectory pattern mining. - Anna Monreale; Fabio Pinelli; Roberto Trasarti; Fosca Giannotti (KDD, 2009)

Anonymous Sequences from Trajectory Data. - Ruggero G. Pensa; Anna Monreale; Fabio Pinelli; Dino Pedreschi (SEBD, 2009)

Preserving privacy in semantic-rich trajectories of human mobility. - Anna Monreale; Roberto Trasarti; Chiara Renso; Dino Pedreschi; Vania Bogorny (SPRINGL, 2010)

Towards discovery of eras in social networks. - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (ICDE Workshops, 2010)

As Time Goes by: Discovering Eras in Evolving Social Networks. - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (PAKDD (1), 2010)

Exploring Real Mobility Data with M-Atlas. - Roberto Trasarti; Salvatore Rinzivillo; Fabio Pinelli; Mirco Nanni; Anna Monreale; Chiara Renso; Dino Pedreschi; Fosca Giannotti (ECML/PKDD (3), 2010)

Discovering Eras in Evolving Social Networks (Extended Abstract). - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (SEBD, 2010)

Location Prediction through Trajectory Pattern Mining (Extended Abstract). - Anna Monreale; Fabio Pinelli; Roberto Trasarti; Fosca Giannotti (SEBD, 2010)

Movement Data Anonymity through Generalization. - Anna Monreale; Gennady L. Andrienko; Natalia V. Andrienko; Fosca Giannotti; Dino Pedreschi; Salvatore Rinzivillo; Stefan Wrobel (Trans. Data Priv., 2010)

Privacy-Preserving Data Mining from Outsourced Databases. - Fosca Giannotti; Laks V. S. Lakshmanan; Anna Monreale; Dino Pedreschi; Wendy Hui Wang (Computers, Privacy and Data Protection, 2011)

Foundations of Multidimensional Network Analysis. - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (ASONAM, 2011)

The pursuit of hubbiness: Analysis of hubs in large multidimensional networks. - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (J. Comput. Sci., 2011)

C-safety: a framework for the anonymization of semantic trajectories. - Anna Monreale; Roberto Trasarti; Dino Pedreschi; Chiara Renso; Vania Bogorny (Trans. Data Priv., 2011)

Privacy by Design in Data Mining. - Anna Monreale (2011)

Injecting Discrimination and Privacy Awareness Into Pattern Discovery. - Sara Hajian; Anna Monreale; Dino Pedreschi; Josep Domingo-Ferrer; Fosca Giannotti (ICDM Workshops, 2012)

AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems. - Ruilin Liu; Wendy Hui Wang; Anna Monreale; Dino Pedreschi; Fosca Giannotti; Wenge Guo (ECML/PKDD (2), 2012)

Classifying Trust/Distrust Relationships in Online Social Networks. - Giacomo Bachi; Michele Coscia; Anna Monreale; Fosca Giannotti (SocialCom/PASSAT, 2012)

Mobility Data and Privacy. - Fosca Giannotti; Anna Monreale; Dino Pedreschi (Mobility Data, 2013)

Anonymity: A Comparison Between the Legal and Computer Science Perspectives. - Sergio Mascetti; Anna Monreale; Annarita Ricci; Andrea Gerino (European Data Protection, 2013)

Privacy-Preserving Distributed Movement Data Aggregation. - Anna Monreale; Wendy Hui Wang; Francesca Pratesi; Salvatore Rinzivillo; Dino Pedreschi; Gennady L. Andrienko; Natalia V. Andrienko (AGILE Conf., 2013)

Quantification Trees. - Letizia Milli; Anna Monreale; Giulio Rossetti; Fosca Giannotti; Dino Pedreschi; Fabrizio Sebastiani 001 (ICDM, 2013)

On multidimensional network measures. - Matteo Magnani; Anna Monreale; Giulio Rossetti; Fosca Giannotti (SEBD, 2013)

Privacy-Aware Distributed Mobility Data Analytics. - Francesca Pratesi; Anna Monreale; Hui Wang 013; Salvatore Rinzivillo; Dino Pedreschi; Gennady L. Andrienko; Natalia V. Andrienko (SEBD, 2013)

Evolving networks: Eras and turning points. - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (Intell. Data Anal., 2013)

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases. - Fosca Giannotti; Laks V. S. Lakshmanan; Anna Monreale; Dino Pedreschi; Wendy Hui Wang (IEEE Syst. J., 2013)

Multidimensional networks: foundations of structural analysis. - Michele Berlingerio; Michele Coscia; Fosca Giannotti; Anna Monreale; Dino Pedreschi (World Wide Web, 2013)

CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud. - Anirban Basu 001; Juan Camilo Corena; Anna Monreale; Dino Pedreschi; Fosca Giannotti; Shinsaku Kiyomoto; Jaideep Vaidya; Yutaka Miyake (CloudCom, 2014)

A Privacy Risk Model for Trajectory Data. - Anirban Basu 001; Anna Monreale; Juan Camilo Corena; Fosca Giannotti; Dino Pedreschi; Shinsaku Kiyomoto; Yutaka Miyake; Tadashi Yanagihara; Roberto Trasarti (IFIPTM, 2014)

Fair pattern discovery. - Sara Hajian; Anna Monreale; Dino Pedreschi; Josep Domingo-Ferrer; Fosca Giannotti (SAC, 2014)

Retrieving Points of Interest from Human Systematic Movements. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (SEFM Workshops, 2014)

Anonymity preserving sequential pattern mining. - Anna Monreale; Dino Pedreschi; Ruggero G. Pensa; Fabio Pinelli (Artif. Intell. Law, 2014)

Privacy-by-design in big data analytics and social mining. - Anna Monreale; Salvatore Rinzivillo; Francesca Pratesi; Fosca Giannotti; Dino Pedreschi (EPJ Data Sci., 2014)

Quantification in social networks. - Letizia Milli; Anna Monreale; Giulio Rossetti; Dino Pedreschi; Fosca Giannotti; Fabrizio Sebastiani 001 (DSAA, 2015)

Clustering Formulation Using Constraint Optimization. - Valerio Grossi; Anna Monreale; Mirco Nanni; Dino Pedreschi; Franco Turini (SEFM Workshops, 2015)

Discrimination- and privacy-aware patterns. - Sara Hajian; Josep Domingo-Ferrer; Anna Monreale; Dino Pedreschi; Fosca Giannotti (Data Min. Knowl. Discov., 2015)

Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry. - Alessandro Marrella; Anna Monreale; Benjamin Klöpper; Martin W. Krueger (CloudCom, 2016)

Privacy-Preserving Outsourcing of Data Mining. - Anna Monreale; Wendy Hui Wang (COMPSAC Workshops, 2016)

Unveiling mobility complexity through complex network analysis. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (Soc. Netw. Anal. Min., 2016)

Driving Profiles Computation and Monitoring for Car Insurance CRM. - Mirco Nanni; Roberto Trasarti; Anna Monreale; Valerio Grossi; Dino Pedreschi (ACM Trans. Intell. Syst. Technol., 2016)

Partition-Based Clustering Using Constraint Optimization. - Valerio Grossi; Tias Guns; Anna Monreale; Mirco Nanni; Siegfried Nijssen (Data Mining and Constraint Programming, 2016)

Privacy Preserving Multidimensional Profiling. - Francesca Pratesi; Anna Monreale; Fosca Giannotti; Dino Pedreschi (GOODTECHS, 2017)

Clustering Individual Transactional Data for Masses of Users. - Riccardo Guidotti; Anna Monreale; Mirco Nanni; Fosca Giannotti; Dino Pedreschi (KDD, 2017)

Fast Estimation of Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (SAFECOMP Workshops, 2017)

MyWay: Location prediction via mobility profiling. - Roberto Trasarti; Riccardo Guidotti; Anna Monreale; Fosca Giannotti (Inf. Syst., 2017)

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. - Giuseppe Amato 001; Leonardo Candela; Donatella Castelli; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Fosca Giannotti; Anna Monreale; Mirco Nanni; Pasquale Pagano; Luca Pappalardo; Dino Pedreschi; et al. (A Comprehensive Guide Through the Italian Database Research, 2018)

Learning Data Mining. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo (DSAA, 2018)

Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. - Michela Natilli; Anna Monreale; Riccardo Guidotti; Luca Pappalardo (MIDAS/PAP@PKDD/ECML, 2018)

Privacy Risk for Individual Basket Patterns. - Roberto Pellungrini; Anna Monreale; Riccardo Guidotti (MIDAS/PAP@PKDD/ECML, 2018)

Analyzing Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (STAF Workshops, 2018)

A Survey Of Methods For Explaining Black Box Models. - Riccardo Guidotti; Anna Monreale; Franco Turini; Dino Pedreschi; Fosca Giannotti (CoRR, 2018)

Local Rule-Based Explanations of Black Box Decision Systems. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Dino Pedreschi; Franco Turini; Fosca Giannotti (CoRR, 2018)

Open the Black Box Data-Driven Explanation of Black Box Decision Systems. - Dino Pedreschi; Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Salvatore Ruggieri; Franco Turini (CoRR, 2018)

Discovering temporal regularities in retail customers' shopping behavior. - Riccardo Guidotti; Lorenzo Gabrielli; Anna Monreale; Dino Pedreschi; Fosca Giannotti (EPJ Data Sci., 2018)

PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems. - Francesca Pratesi; Anna Monreale; Roberto Trasarti; Fosca Giannotti; Dino Pedreschi; Tadashi Yanagihara (Trans. Data Priv., 2018)

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data. - Roberto Pellungrini; Luca Pappalardo; Francesca Pratesi; Anna Monreale (ACM Trans. Intell. Syst. Technol., 2018)

Privacy by Design for Mobility Data Analytics. - Francesca Pratesi; Anna Monreale; Dino Pedreschi (Handbook of Mobile Data Privacy, 2018)

Meaningful Explanations of Black Box AI Decision Systems. - Dino Pedreschi; Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Franco Turini (AAAI, 2019)

Explainable AI. - Anna Monreale (CCIA, 2019)

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. - Riccardo Guidotti; Anna Monreale; Leonardo Cariaggi (PAKDD (1), 2019)

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. - Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi (ECML/PKDD (1), 2019)

Global Explanations with Local Scoring. - Mattia Setzu; Riccardo Guidotti; Anna Monreale; Franco Turini (PKDD/ECML Workshops (1), 2019)

A Survey of Methods for Explaining Black Box Models. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Franco Turini; Fosca Giannotti; Dino Pedreschi (ACM Comput. Surv., 2019)

The AI Black Box Explanation Problem. - Riccardo Guidotti; Anna Monreale; Dino Pedreschi (ERCIM News, 2019)

Factual and Counterfactual Explanations for Black Box Decision Making. - Riccardo Guidotti; Anna Monreale; Fosca Giannotti; Dino Pedreschi; Salvatore Ruggieri; Franco Turini (IEEE Intell. Syst., 2019)

Guest editors' foreword. - Vashti Galpin; Paolo Milazzo; Anna Monreale (J. Log. Algebraic Methods Program., 2019)

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. - Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi (AAAI, 2020)

Explaining Any Time Series Classifier. - Riccardo Guidotti; Anna Monreale; Francesco Spinnato; Dino Pedreschi; Fosca Giannotti (CogMI, 2020)

Predicting and Explaining Privacy Risk Exposure in Mobility Data. - Francesca Naretto; Roberto Pellungrini; Anna Monreale; Franco Maria Nardini; Mirco Musolesi (DS, 2020)

Data-Agnostic Local Neighborhood Generation. - Riccardo Guidotti; Anna Monreale (ICDM, 2020)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (CoRR, 2020)

PRIMULE: Privacy risk mitigation for user profiles. - Francesca Pratesi; Lorenzo Gabrielli; Paolo Cintia; Anna Monreale; Fosca Giannotti (Data Knowl. Eng., 2020)

Authenticated Outlier Mining for Outsourced Databases. - Boxiang Dong; Hui Wang 013; Anna Monreale; Dino Pedreschi; Fosca Giannotti; Wenge Guo (IEEE Trans. Dependable Secur. Comput., 2020)

Explaining Multi-label Black-Box Classifiers for Health Applications. - Cecilia Panigutti; Riccardo Guidotti; Anna Monreale; Dino Pedreschi (Precision Health and Medicine, 2020)

A modularized framework for explaining hierarchical attention networks on text classifiers. - Mahtab Sarvmaili; Amílcar Soares 001; Riccardo Guidotti; Anna Monreale; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2021)

Designing Shapelets for Interpretable Data-Agnostic Classification. - Riccardo Guidotti; Anna Monreale (AIES, 2021)

From depression to suicidal discourse on Reddit. - Benedetta Iavarone; Anna Monreale (IEEE BigData, 2021)

TRIPLEx: Triple Extraction for Explanation. - Mattia Setzu; Anna Monreale; Pasquale Minervini (CogMI, 2021)

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. - Valerio Bonsignori; Riccardo Guidotti; Anna Monreale (DS, 2021)

Privacy Risk Assessment of Individual Psychometric Profiles. - Giacomo Mariani; Anna Monreale; Francesca Naretto (DS, 2021)

A new approach for cross-silo federated learning and its privacy risks. - Michele Fontana; Francesca Naretto; Anna Monreale (PST, 2021)

GLocalX - From Local to Global Explanations of Black Box AI Models. - Mattia Setzu; Riccardo Guidotti; Anna Monreale; Franco Turini; Dino Pedreschi; Fosca Giannotti (Artif. Intell., 2021)

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals. - Michele Resta; Anna Monreale; Davide Bacciu (Entropy, 2021)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (Ethics Inf. Technol., 2021)

An ethico-legal framework for social data science. - Nikolaus Forgó; Stefanie Hänold; Jeroen van den Hoven; Tina Krügel; Iryna V. Lishchuk; René Mahieu; Anna Monreale; Dino Pedreschi; Francesca Pratesi; David van Putten (Int. J. Data Sci. Anal., 2021)

Correction to: An ethico-legal framework for social data science. - Nikolaus Forgó; Stefanie Hänold; Jeroen van den Hoven; Tina Krügel; Iryna V. Lishchuk; René Mahieu; Anna Monreale; Dino Pedreschi; Francesca Pratesi; David van Putten (Int. J. Data Sci. Anal., 2021)

A Modularized Framework for Explaining Black Box Classifiers for Text Data. - Mahtab Sarvmaili; Riccardo Guidotti; Anna Monreale; Amílcar Soares 001; Zahra Sadeghi; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2022)

MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. - Lorenzo Mannocci; Stefano Cresci; Anna Monreale; Athina Vakali; Maurizio Tesconi (IEEE Big Data, 2022)

Evaluating the Privacy Exposure of Interpretable Global Explainers. - Francesca Naretto; Anna Monreale; Fosca Giannotti (CogMI, 2022)

Uncovering Student Temporal Learning Patterns. - Daniela Rotelli; Anna Monreale; Riccardo Guidotti (EC-TEL, 2022)

Monitoring Fairness in HOLDA. - Michele Fontana; Francesca Naretto; Anna Monreale; Fosca Giannotti (HHAI, 2022)

Privacy Risk of Global Explainers. - Francesca Naretto; Anna Monreale; Fosca Giannotti (HHAI, 2022)

Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments. - Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale (IV, 2022)

Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities. - Daniela Rotelli; Anna Monreale (LAK, 2022)

Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles. - Anna Monreale; Benedetta Iavarone; Elena Rossetto; Andrea Beretta (WWW (Companion Volume), 2022)

Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias. - David Solans; Andrea Beretta; Manuel Portela; Carlos Castillo 001; Anna Monreale (CoRR, 2022)

Modeling Adversarial Behavior Against Mobility Data Privacy. - Roberto Pellungrini; Luca Pappalardo; Filippo Simini; Anna Monreale (IEEE Trans. Intell. Transp. Syst., 2022)

Semantic Enrichment of Explanations of AI Models for Healthcare. - Luca Corbucci; Anna Monreale; Cecilia Panigutti; Michela Natilli; Simona Smiraglio; Dino Pedreschi (DS, 2023)

The Trajectory Interval Forest Classifier for Trajectory Classification. - Cristiano Landi; Riccardo Guidotti; Mirco Nanni; Anna Monreale (SIGSPATIAL/GIS, 2023)

Vehicle Data Collection: A Privacy Policy Analysis and Comparison. - Chiara Bodei; Gianpiero Costantino; Marco De Vincenzi 001; Ilaria Matteucci; Anna Monreale (ICISSP, 2023)

Geolet: An Interpretable Model for Trajectory Classification. - Cristiano Landi; Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (IDA, 2023)

Trustworthy AI at KDD Lab. - Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Dino Pedreschi; Roberto Pellungrini; Francesca Pratesi; Salvatore Rinzivillo; Salvatore Ruggieri; Mattia Setzu; Rosaria Deluca (Ital-IA, 2023)

Data Collection in Automotive: A Deep Analysis of Carmakers' Mobile App Privacy Policies. - Chiara Bodei; Gianpiero Costantino; Marco De Vincenzi 001; Ilaria Matteucci; Anna Monreale (ITSC, 2023)

Agnostic Label-Only Membership Inference Attack. - Anna Monreale; Francesca Naretto; Simone Rizzo (NSS, 2023)

Explaining Black-Boxes in Federated Learning. - Luca Corbucci; Riccardo Guidotti; Anna Monreale (xAI (2), 2023)

Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. - Mattia Setzu; Silvia Corbara; Anna Monreale; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2023)

A Bag of Receptive Fields for Time Series Extrinsic Predictions. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (CoRR, 2023)

An Explanation that LASTS: Understanding Any Time Series Classifier. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale (ERCIM News, 2023)

Session-Based Time-Window Identification in Virtual Learning Environments. - Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale (J. Learn. Anal., 2023)

Processing and Understanding Moodle Log Data and Their Temporal Dimension. - Daniela Rotelli; Anna Monreale (J. Learn. Anal., 2023)

A Survey on Privacy in Human Mobility. - Anna Monreale; Roberto Pellungrini (Trans. Data Priv., 2023)

Generative Model for Decision Trees. - Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi (AAAI, 2024)

Requirements of eXplainable AI in Algorithmic Hiring. - Andrea Beretta; Gianmario Ercoli; Alfonso Ferraro; Riccardo Guidotti; Andrea Iommi; Antonio Mastropietro; Anna Monreale; Daniela Rotelli; Salvatore Ruggieri (AIMMES, 2024)

Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model. - Fabio Michele Russo; Carlo Metta; Anna Monreale; Salvatore Rinzivillo; Fabio Pinelli (DS (2), 2024)

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. - Luca Corbucci; Mikko A. Heikkilä; David Solans Noguero; Anna Monreale; Nicolas Kourtellis (ECAI, 2024)

EMERGE - Emergent Awareness from Minimal Collectives. - Davide Bacciu; Vincenzo Ambriola; Bahador Bahrami; Andrea Ceni; Andrea Cossu; Valerio De Caro; Cosimo Della Santina; Ophelia Deroy; Claudio Gallicchio; Riccardo Guidotti; Sabine Hauert; Simon Jones; et al. (ERF (1), 2024)

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. - Rami Haffar; Francesca Naretto; David Sánchez 001; Anna Monreale; Josep Domingo-Ferrer (FUZZ, 2024)

Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection. - Luca Corbucci; Anna Monreale; Roberto Pellungrini (SECRYPT, 2024)

Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis. - Saloni Kwatra; Anna Monreale; Francesca Naretto (SECRYPT, 2024)

1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data. - Francesca Maridina Malloci; Paola Mejia; Agathe Merceron; Anna Monreale; Daniela Rotelli (UMAP (Adjunct Publication), 2024)

TrajectGuard: A Comprehensive Privacy-Risk Framework for Multiple-Aspects Trajectories. - Fernanda Oliveira Gomes; Roberto Pellungrini; Anna Monreale; Chiara Renso; Jean Everson Martina (IEEE Access, 2024)

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (IEEE Access, 2024)

Detection and Characterization of Coordinated Online Behavior: A Survey. - Lorenzo Mannocci; Michele Mazza; Anna Monreale; Maurizio Tesconi; Stefano Cresci (CoRR, 2024)

Understanding Any Time Series Classifier with a Subsequence-based Explainer. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni; Dino Pedreschi; Fosca Giannotti (ACM Trans. Knowl. Discov. Data, 2024)

Analyzing and explaining privacy risks on time series data: ongoing work and challenges. - Tristan Allard; Hira Asghar; Gildas Avoine; Christophe Bobineau; Pierre Cauchois; Elisa Fromont; Anna Monreale; Francesca Naretto; Roberto Pellungrini; Francesca Pratesi; Marie-Christine Rousset; Antonin Voyez (SIGKDD Explor., 2024)

Stable and actionable explanations of black-box models through factual and counterfactual rules. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Francesca Naretto; Franco Turini; Dino Pedreschi; Fosca Giannotti (Data Min. Knowl. Discov., 2024)

Explainable Authorship Identification in Cultural Heritage Applications. - Mattia Setzu; Silvia Corbara; Anna Monreale; Alejandro Moreo; Fabrizio Sebastiani 001 (ACM Journal on Computing and Cultural Heritage, 2024)

Talking Back - human input and explanations to interactive AI systems. - Alan J. Dix; Tommaso Turchi; Ben Wilson; Anna Monreale; Matt J. Roach (IUI Workshops, 2025)

Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024). - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti (CoRR, 2025)

Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings. - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti; Valentina Cesare; Gianluca Mittone; Emanuele De Rubeis; et al. (CoRR, 2025)

Evaluating the Privacy Exposure of Interpretable Global and Local Explainers. - Francesca Naretto; Anna Monreale; Fosca Giannotti (Trans. Data Priv., 2025)

Improving Regulatory Oversight in Online Content Moderation. - Benedetta Tessa; Denise Amram; Anna Monreale; Stefano Cresci (CoRR, 2025)

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation. - Xenia Heilmann; Luca Corbucci; Mattia Cerrato; Anna Monreale (CoRR, 2025)

Multimodal Coordinated Online Behavior: Trade-offs and Strategies. - Lorenzo Mannocci; Stefano Cresci; Matteo Magnani; Anna Monreale; Maurizio Tesconi (CoRR, 2025)

An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items. - Luca Corbucci; Javier Alejandro Borges Legrottaglie; Francesco Spinnato; Anna Monreale; Riccardo Guidotti (CoRR, 2025)