Alessandro Baccarini

abaccarini [at] proton [dot] me

Hi, thanks for stopping by! 👋

I am a security researcher with interests spanning across areas of information security, applied cryptography, and privacy enhancing technologies.

Concretely, I design protocols for secure multi-party computation based on secret sharing for a variety of applications, such as privacy-preserving machine learning, sustainability, and outsourcing.

I also maintain PICCO, an open-source compiler that translates general-purpose programs into their secure equivalents for distributed deployment. I’m often writing new protocol implementations, optimizing existing protocols, and improving overall usability.

My second area of interest involves quantifying (and subsequently, lowering) information disclosure from secure function evaluations. This work touches several disciplines, including information theory, differential privacy, and quantitative information flow.

I earned my PhD in computer science from the University at Buffalo, where I was advised by Marina Blanton. I previously obtained my masters in Cybersecurity and bachelors in Physics from Fordham University.

My Erdős number is 3 through the following connections: Paul Erdős → Frank Hsu → Gary Weiss → Alessandro Baccarini.

news

Mar 11, 2025	I had the pleasure of presenting my research on quantifying information disclosure from secure computation outputs virtually at Intel Labs. Slides available here.
Feb 05, 2025	I was invited to present my research at Riverside Research in Lexington, MA. Slides available here.
Jan 27, 2025	I was invited to present my research on privacy-preserving machine learning virtually at The MITRE Corporation. Slides available here.
Dec 14, 2024	The full version of our CODASPY ‘24 paper “Understanding Information Disclosure from Secure Computation Output: A Comprehensive Study of Average Salary Computation” was published in ACM Transactions on Privacy and Security (TOPS). Available here.
Sep 17, 2024	My PhD dissertation “New Directions in Secure Multi-Party Computation: Techniques and Information Disclosure Analysis” is officially published! Available here.
Jul 31, 2024	I successfully defended my dissertation! Presentation slides available here.
Jun 20, 2024	I presented our paper “Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation” at the ACM Conference on Data and Application Security and Privacy (CODASPY), held at the University of Porto in Portugal. Paper available here and my presentation slides here.