Brian

Brian Pulfer

Hey there, this is Brian! 👋

I am a Machine Learning practitioner and enthusiast. I am currently a Ph.D. student in Machine Learning, with a focus on anomaly detection and adversarial attacks, at the University of Geneva, Switzerland 🇨🇭. Here's my CV. This is my personal portfolio, where I publish updates on my career, projects, publications and more. Hope you enjoy it!

News đŸ—žī¸

June 2025

👨đŸŊ‍đŸ’ģI am interning a as a Ph.D. student at Meta in Menlo Park, California, for the summer of 2025 in the GPU Techniques Team!

June 2025

📃 I presented our paper Task-Agnostic Attacks Against Vision Foundation Models at CVPR 2025 for the 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X.

March 2025

📃 Our paper Task-Agnostic Attacks Against Vision Foundation Models is now available on ArXiv.

February 2025

📃 I contributed as part of the red team for ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models.

November 2024

đŸ•ĩī¸ I contributed as a reviewer of 3 papers for CVPR 2025.

July 2024

📃 Our paper Robustness Tokens: Towards Adversarial Robustness for Transformers (deep double blind) has been accepted for publication at the European Conference on Computer Vision (ECCV) 2024..

September 2023

đŸĨ‡ My team and I won the Migros workshop at the HackZurich 2023 hackathon. Read the blog post.

May 2022

đŸĨ‡ I won the best presentation award for the 2022 edition of the SwissEngineering Award Foundation.

November 2021

đŸ‘Ĩ I Joined the Stochastic Information Processing (SIP) group of the University of Geneva in quality of Ph.D. Student in Machine Learning.