most citedProtecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection

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When Large Language Models Know the Table: A Framework for Assessing Data Contamination in Tabular Datasets

Matteo Silvestri, Fabiano Veglianti, Flavio Giorgi +2

Large language models (LLMs) are increasingly exposed to data contamination, i.e., performance gains driven by prior exposure of test datasets rather than generalization. However,…