Lorenzo CAZZARO

Position
Subject expert
E-mail
lorenzo.cazzaro@unive.it
864683@stud.unive.it
Website
www.unive.it/people/lorenzo.cazzaro (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais

Cazzaro L.; Calzavara S.; Kovalkov M.; Stafeev A.; Pellegrino G. Less is More: Boosting Coverage of Web Crawling through Adversarial Multi-Armed Bandit , Proceedings - 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2025, Institute of Electrical and Electronics Engineers Inc., pp. 183-192, Convegno: 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2025, 2025
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5100968


Calzavara S.; Cazzaro L.; Vettori M. Timber! Poisoning Decision Trees , Proceedings - 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025, Institute of Electrical and Electronics Engineers Inc., pp. 824-840, Convegno: 2025 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2025, 2025
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5099188


Calzavara S.; Cazzaro L.; Lucchese C.; Pibiri G.E. Verifiable Boosted Tree Ensembles , Proceedings - 2025 IEEE Symposium on Security and Privacy, S&P 2025, Institute of Electrical and Electronics Engineers Inc., pp. 2057-2075, Convegno: 46th IEEE Symposium on Security and Privacy, SP 2025, 2025
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5099187


Calzavara S.; Cazzaro L.; Gera D.; Orlando S. Watermarking Decision Tree Ensembles , Advances in Database Technology - EDBT, OpenProceedings.org, vol. 28, pp. 569-575, Convegno: 28th International Conference on Extending Database Technology, EDBT 2025, 2025
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5099189


Calzavara S.; Cazzaro L.; Lucchese C.; Marcuzzi F. Explainable Global Fairness Verification of Tree-Based Classifiers , Proceedings - 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-17, Convegno: 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023, 2023 (ISBN 978-1-6654-6299-0)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5028100