John Abascal

Computer Science PhD Student at Northeastern University


ISEC 6th Floor

805 Columbus Ave

Boston, MA 021155

I am a third-year Computer Science PhD Student at Northeastern University, where I am advised by Jonathan Ullman and Alina Oprea. I completed my B.S. in Pure Mathematics at Florida State Univerity and completed my undergaduate honors thesis under the guidance of Alec Kercheval and Nathan Crock.

My primary research interest is privacy in deep learning. More broadly, I am interested in both theoretical computer science and applied machine learning, including topics such as differential privacy, adversarial machine learning, and the trustworthiness of machine learning algorithms.

I have also held several industry positions in both software engineering and data science. During the summers of 2020 and 2021, I worked as an iOS Software Engineer intern at Intuit, where I helped create new applications and features for multiple products within the QuickBooks ecosystem. Throughout my last 2 years at Florida State, I interned at NewSci Labs, where I worked on several machine learning and computer vision projects. This past summer, I was an Applied Research Intern on LinkedIn’s Data Privacy team where I worked on measuring privacy leakage. πŸ”’


Jun 20, 2023 Our work on privacy leakage in finetuned models was accepted into the 2023 ICML AdvML Frontiers Workshop! 🎊
Jun 4, 2023 New paper on privacy leakage in finetuned vision and language models!
Dec 6, 2022 Our work on efficient property inference attacks has been accepted into IEEE S&P 2023! πŸŽ‰
Aug 29, 2022 New paper on efficient property inference attacks!
May 27, 2022 I made a new wesbsite πŸ‘¨πŸ»β€πŸ’»