Privacy-Preserving Decision Tree Classification Using VBB-Secure Cryptographic Obfuscation

ePrint Report: Privacy-Preserving Decision Tree Classification Using VBB-Secure Cryptographic Obfuscation

Shalini Banerjee, Steven D. Galbraith, Giovanni Russello

The use of data as a product and service has given momentum to the extensive uptake of complex machine learning algorithms that focus on performing prediction with popular tree-based methods such as decision trees classifiers. With increasing adoption over a wide array of sensitive applications, a significant need to protect the confidentiality of the classifier model and user data is identified. The existing …

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