Lorenzo Cazzaro

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As of January 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 a copy of my resume here (last updated October 2023). Furthermore, 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:

  • Applications of Artificial Intelligence (AI) algorithms in Cybersecurity. I am currently working on a specific topic of this category as a collaboration with prof. Pellegrino’s group at CISPA.
  • Adversarial Machine Learning.

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 in which I’m interested! If you want to discuss details about possible topics for a Bachelor’s and Master’s thesis, feel free to drop me an email!

news

Jan 14, 2024 I will be giving a talk at the Safe Artificial Intelligence Lab, Imperial College London, on Jan. 29th 2024. Thanks to prof. Lomuscio and Mr Ben Batten for giving me this opportunity!
Oct 20, 2023 I will be giving a talk at the Dipartimento di Informatica, Università degli Studi di Roma “La Sapienza”, on Nov. 9th. Thanks to prof. Tolomei for giving me this opportunity!
Sep 30, 2023 I am a reviewer for the Security track at the International World Wide Web Conference 2024 (WWW 2024) !
Sep 2, 2023 The paper Verifiable Learning for Robust Tree Ensembles (pre-print here) has been accepted at ACM CCS 2023! I will attend the conference on November 26-30, 2023!