In the era of Artificial Intelligence (AI) and big data, predictive models have become an essential tool across various industries including healthcare, finance and genomics. These models rely heavily on the processing of sensitive information making data privacy a critical concern. The key challenge lies in maximizing data utility without compromising the confidentiality and integrity of the information involved. Achieving this balance is essential for the continued advancement and acceptance of AI technologies.
