2 papers
cs.LG2026
Probing Memorization of Tabular In-Context Learning
Francesco Capano, Jonas Böhler
Large tabular models (LTMs), i.e., tabular foundation models leveraging in-context learning (ICL), achieve state-of-the-art performance on tabular tasks. While LLMs are known to un…
cs.CR2026
SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy
Francesco Capano, Jonas Böhler, Benjamin Weggenmann
In collaborative learning (CL), multiple parties jointly train a machine learning model on their private datasets. However, data can not be shared directly due to privacy concerns.…