David Boehm

Title: David Boehm: Inventor in Privacy-Preserving Decision Tree Evaluation.

Introduction

David Boehm is an inventor associated with SAP SE and based in Landau in der Pfalz, Germany. His patent work addresses privacy-preserving computation, enabling decision-tree evaluation while keeping input data encrypted.

Latest Patents

Boehm is associated with 1 patent: “Two-Party Privacy Preserving Decision Tree Evaluation Using Additively Homomorphic Encryption.” The invention describes a system in which two servers hold separate shares of a decision tree and use secure multi-party computation, including additive homomorphic encryption and oblivious transfer, to classify encrypted client data. The classification is computed without decrypting the input data, and the first server returns the result to the client.

Career Highlights

Boehm’s listed patent reflects work on applying cryptographic techniques to data analysis. The approach is designed to support decision-tree classification while protecting the confidentiality of the client’s attributes.

Collaborations

Boehm’s listed coworker is Anselme Tueno. The patent describes cooperation between two servers, each using a separate share of the decision tree, to compute the classification securely.

Conclusion

David Boehm’s patent contribution focuses on combining decision-tree evaluation with encryption and secure computation to help protect sensitive input data.