Lorenzo Cazzaro
As of April 2024, I am a third-year Ph.D. student at Università Ca’ Foscari Venezia under the supervision of prof. Stefano Calzavara. I also spent a period at CISPA as an intern under the supervision of prof. Giancarlo Pellegrino.
I obtained a Master’s Degree in Computer Science in July 2021 (Best Master Thesis in Computer Science for the a.y. 2020/21 at Università Ca’ Foscari Venezia and a finalist for the Best Master Thesis Awards on Big Data & Data Science 2022 of the 1st Italian Conference on Big Data and Data Science) and a Bachelor’s Degree in Computer Science in November 2019 (Best first-year student of the Bachelor’s Degree program).
You can find my DBLP page here.
My research activity during the Ph.D. focuses on the verification of properties of Machine Learning (ML) models.
Moreover, I am also interested in the following research topics, and I am currently working on them:
- Adversarial Machine Learning.
- Applications of Artificial Intelligence (AI) algorithms in Cybersecurity.
- Machine Learning models watermarking and data exfiltration.
If you are interested in some of the topics on which I’m working or on some of my publications or you would simply like to contact me, the best way to reach me is by email lorenzo.cazzaro@unive.it or Twitter!
I am always looking for motivated students who enjoy working on the research topics I’m interested in! If you want to discuss details about possible topics for a Bachelor’s or Master’s thesis, feel free to email me!
news
Dec 12, 2024 | Our paper Timber! Poisoning Decision Trees has been accepted at IEEE SaTML 2025! In this work, we present a new poisoning attack about decision trees that is feasible to perform without incurring in large computational costs. |
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Nov 4, 2024 | I have been selected as a Top Reviewer at the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) and the 17th ACM Workshop on Artificial Intelligence and Security (AISec 2024)! |
Sep 11, 2024 | I will serve as poster chair for the 10th IEEE European Symposium on Security and Privacy (IEEE EuroS&P 2025)! |
Aug 27, 2024 | Our paper Verifiable Boosted Tree Ensembles has been accepted at IEEE S&P 2025! In this work, we demonstrate how to train boosted tree ensembles with robustness guarantees that can be efficiently verified in polynomial time, overcoming the challenge of robustness verification, which is NP-hard for tree ensembles in general. |
Aug 25, 2024 | I am a reviewer for the Security and Privacy track at the International World Wide Web Conference 2025 (WWW 2025) and for the Thirteenth International Conference on Learning Representations (ICLR 2025). |