Publications

Flavio Giorgi, Fabiano Veglianti, Fabrizio Silvestri, Gabriele Tolomei (2025). Generalizability through Explainability: Countering Overfitting with Counterfactual Examples. CoRR.
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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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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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Matteo Silvestri, Edoardo Gabrielli, Fabrizio Silvestri, Gabriele Tolomei (2025). Community Membership Hiding via Gradient-based Optimization. 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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Vittoria Vineis, Giuseppe Perelli, Gabriele Tolomei (2025). Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making. CoRR.
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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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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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Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei (2024). Natural Language Counterfactual Explanations for Graphs Using Large Language Models. CoRR.
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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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