Boenisch Lab

Research focus

ERC Starting Grant · 2025

Privacy Protection and Auditing for Foundation Models

Novel foundation models (FMs) like GPT, LLaMA, and Stable Diffusion are achieving exceptional performance across diverse tasks, generating high-quality text, images, and audio, and driving industry innovations. This progress stems from a shift in machine learning paradigm: instead of training task-specific models on curated datasets, FMs are first pretrained on vast, uncurated data to become strong general-purpose models, then adapted on smaller, domain-specific datasets for specific tasks. However, FMs leak information from their training data. For example, recent studies reveal that they can re-create individual data points from their pretraining and adaptation datasets. This poses…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.