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cs.LG2026
Privacy Risks in Time Series Forecasting: User- and Record-Level Membership Inference
Nicolas Johansson, Tobias Olsson, Daniel Nilsson +2
Membership inference attacks (MIAs) aim to determine whether specific data were used to train a model. While extensively studied on classification models, their impact on time seri…
cs.LG2025
Evaluation of the impact of expert knowledge: How decision support scores impact the effectiveness of automatic knowledge-driven feature engineering (aKDFE)
Olof Björneld, Tora Hammar, Daniel Nilsson +2
Adverse Drug Events (ADEs), harmful medication effects, pose significant healthcare challenges, impacting patient safety and costs. This study evaluates automatic Knowledge-Driven…