Publications
Vittoria Vineis, Giuseppe Perelli, Gabriele Tolomei (2025). Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making. CoRR.
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Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei (2025). COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations. CoRR.
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Matteo Silvestri, Edoardo Gabrielli, Fabrizio Silvestri, Gabriele Tolomei (2025). Community Membership Hiding via Gradient-based Optimization. CoRR.
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Maria Movin, Federico Siciliano, Rui Ferreira, Fabrizio Silvestri, Gabriele Tolomei (2025). Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. IEEE Trans. Artif. Intell..
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Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, Lu Lin (2025). FROG: Fair Removal on Graphs. CoRR.
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Flavio Giorgi, Fabiano Veglianti, Fabrizio Silvestri, Gabriele Tolomei (2025). Generalizability through Explainability: Countering Overfitting with Counterfactual Examples. CoRR.
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Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri (2024). (∇) (τ): Gradient-based and Task-Agnostic machine Unlearning. CoRR.
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Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei (2024). Debiasing Machine Unlearning with Counterfactual Examples. CoRR.
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Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei (2024). Evading Community Detection via Counterfactual Neighborhood Search. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024.
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Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn (2024). Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. IEEE Trans. Artif. Intell..
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Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei (2024). Natural Language Counterfactual Explanations for Graphs Using Large Language Models. CoRR.
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Federico Siciliano, Shoval Lagziel, Iftah Gamzu, Gabriele Tolomei (2024). Robust Training of Sequential Recommender Systems with Missing Input Data. Proceedings of the Workshop Design, Evaluation, and Deployment of Robust Recommender Systems (RobustRecSys 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18th, 2024.
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Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei (2024). Sparse Vicious Attacks on Graph Neural Networks. IEEE Trans. Artif. Intell..
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Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori (2023). A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates. CoRR.
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Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei (2023). A Survey on Decentralized Federated Learning. CoRR.
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Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei (2023). Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning. CoRR.
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Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini (2023). FLIRT: Federated Learning for Information Retrieval. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.
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Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini (2023). Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. 5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023, Atlanta, GA, USA, November 1-4, 2023.
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Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini (2023). Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. CoRR.
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Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei (2023). The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.
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Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei (2023). The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR.
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Ana Lucic, Maartje A. Ter Hoeve, Gabriele Tolomei, Maarten De Rijke, Fabrizio Silvestri (2022). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event.
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Dimitri Belli, Paolo Barsocchi, Edoardo Gabrielli, Davide La Rosa, Vittorio Miori, Filippo Palumbo, Dario Russo, Gabriele Tolomei (2022). ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing. Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2022 co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine (UD), Italy, November 28th - December 2nd, 2022.
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Gabriele Tolomei, Fabio Pinelli, Fabrizio Silvestri (2022). Editorial: Human-Interpretable Machine Learning. Frontiers Big Data.
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Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei (2022). GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. CoRR.
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Enrico Bassetti, Andrea Conti, Emanuele Panizzi, Gabriele Tolomei (2022). ISIDE: Proactively Assist University Students at Risk of Dropout. IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022.
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Gabriele Tolomei, Lorenzo Takanen, Fabio Pinelli (2022). MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction. CoRR.
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Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri (2022). NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022.
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Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei (2022). ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022.
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Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei (2022). Sparse Vicious Attacks on Graph Neural Networks. CoRR.
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Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei (2022). Turning Federated Learning Systems Into Covert Channels. IEEE Access.
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Ana Lucic, Maartje Ter Hoeve, Gabriele Tolomei, Maarten De Rijke, Fabrizio Silvestri (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. CoRR.
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Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei (2021). Covert Channel Attack to Federated Learning Systems. CoRR.
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Gabriele Tolomei, Fabrizio Silvestri (2021). Generating Actionable Interpretations from Ensembles of Decision Trees. IEEE Trans. Knowl. Data Eng..
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Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri (2021). NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. CoRR.
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Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn (2021). ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. CoRR.
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Stefano Calzavara, Mauro Conti, Riccardo Focardi, Alvise Rabitti, Gabriele Tolomei (2020). Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery. IEEE Secur. Priv..
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Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando (2020). Treant: training evasion-aware decision trees. Data Min. Knowl. Discov..
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Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei (2019). Adversarial Training of Gradient-Boosted Decision Trees. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
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Stefano Calzavara, Mauro Conti, Riccardo Focardi, Alvise Rabitti, Gabriele Tolomei (2019). Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities. IEEE European Symposium on Security and Privacy, EuroS&P 2019, Stockholm, Sweden, June 17-19, 2019.
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Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando (2019). Treant: Training Evasion-Aware Decision Trees. CoRR.
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Gabriele Tolomei, Mounia Lalmas, Ayman Farahat, Andrew Haines (2019). You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction. Int. J. Data Sci. Anal..
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Hidayet Aksu, Leonardo Babun, Mauro Conti, Gabriele Tolomei, A. Selcuk Uluagac (2018). Advertising in the IoT Era: Vision and Challenges. IEEE Commun. Mag..
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Hidayet Aksu, Leonardo Babun, Mauro Conti, Gabriele Tolomei, A. Selcuk Uluagac (2018). Advertising in the IoT Era: Vision and Challenges. CoRR.
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Mauro Conti, Ankit Gangwal, Sarada Prasad Gochhayat, Gabriele Tolomei (2018). Spot the Difference: Your Bucket is Leaking : A Novel Methodology to Expose A/B Testing Effortlessly. 2018 IEEE Conference on Communications and Network Security, CNS 2018, Beijing, China, May 30 - June 1, 2018.
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Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas (2017). Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017.
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Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei (2016). Learning to Rank User Queries to Detect Search Tasks. Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016.
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Stefano Calzavara, Gabriele Tolomei, Andrea Casini, Michele Bugliesi, Salvatore Orlando (2015). A Supervised Learning Approach to Protect Client Authentication on the Web. ACM Trans. Web.
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Mounia Lalmas, Janette Lehmann, Guy Shaked, Fabrizio Silvestri, Gabriele Tolomei (2015). Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015.
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Stefano Calzavara, Gabriele Tolomei, Michele Bugliesi, Salvatore Orlando (2014). Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication. 23rd International World Wide Web Conference, WWW ‘14, Seoul, Republic of Korea, April 7-11, 2014.
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Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei (2013). Discovering tasks from search engine query logs. ACM Trans. Inf. Syst..
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Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei (2013). Modeling and predicting the task-by-task behavior of search engine users. Open research Areas in Information Retrieval, OAIR 2013, Lisbon, Portugal, May 15-17, 2013.
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Salvatore Orlando, Francesco Pizzolon, Gabriele Tolomei (2013). SEED: a framework for extracting social events from press news. 22nd International World Wide Web Conference, WWW ‘13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume.
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Federica Giummolè, Salvatore Orlando, Gabriele Tolomei (2013). Trending Topics on Twitter Improve the Prediction of Google Hot Queries. International Conference on Social Computing, SocialCom 2013, SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013, Washington, DC, USA, 8-14 September, 2013.
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Gabriele Tolomei, Salvatore Orlando, Diego Ceccarelli, Claudio Lucchese (2013). Twitter anticipates bursts of requests for Wikipedia articles. Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013.
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Alessio Ferrari, Stefania Gnesi, Gabriele Tolomei (2013). Using Clustering to Improve the Structure of Natural Language Requirements Documents. Requirements Engineering: Foundation for Software Quality - 19th International Working Conference, REFSQ 2013, Essen, Germany, April 8-11, 2013. Proceedings.
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Alessio Ferrari, Stefania Gnesi, Gabriele Tolomei (2012). A clustering-based approach for discovering flaws in requirements specifications. Proceedings of the ACM Symposium on Applied Computing, SAC 2012, Riva, Trento, Italy, March 26-30, 2012.
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Elia Bruni, Alessio Ferrari, Norbert Seyff, Gabriele Tolomei (2012). Automatic Analysis of Multimodal Requirements: A Research Preview. Requirements Engineering: Foundation for Software Quality - 18th International Working Conference, REFSQ 2012, Essen, Germany, March 19-22, 2012. Proceedings.
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Gabriele Tolomei (2012). Enhancing web search user experience : from document retrieval to task recommendation.
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Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Gabriele Tolomei (2011). Discovering Europeana Users' Search Behavior. ERCIM News.
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Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei (2011). Identifying task-based sessions in search engine query logs. Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011.
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Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Gabriele Tolomei (2011). Improving Europeana Search Experience Using Query Logs. Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2011, Berlin, Germany, September 26-28, 2011. Proceedings.
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Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei (2010). Detecting Task-Based Query Sessions Using Collaborative Knowledge. Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31 - September 3, 2010.
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Gabriele Tolomei, Salvatore Orlando, Fabrizio Silvestri (2010). Towards a task-based search and recommender systems. Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA.
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Matteo Mordacchini, Patrizio Dazzi, Gabriele Tolomei, Ranieri Baraglia, Fabrizio Silvestri, Salvatore Orlando (2009). Challenges in designing an interest-based distributed aggregation of users in P2P systems. Proceedings of the International Conference on Ultra Modern Telecommunications, ICUMT 2009, 12-14 October 2009, St. Petersburg, Russia.
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Gabriele Tolomei (2009). Search the web x.0: mining and recommending web-mediated processes. Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009.
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Domenico Laforenza, Franco Maria Nardini, Fabrizio Silvestri, Gabriele Tolomei (2008). SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience. ERCIM News.
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Vittorio Miori, Luca Tarrini, Maurizio Manca, Gabriele Tolomei (2006). An open standard solution for domotic interoperability. IEEE Trans. Consumer Electron..
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