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TabularMark: Watermarking Tabular Datasets for Machine Learning
Data noise partitioning is utilized for data perturbation during embedding, which is adaptable for numerical and categorical attributes while preserving the data utility.
Prompt Valuation Based on Shapley Values
Large language models (LLMs) excel on new tasks without additional training, simply by providing natural language prompts that demonstrate how the task should be performed.
Shapley Value on Probabilistic Classifiers
Data valuation has become an increasingly significant discipline in data science due to the economic value of data.
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