Eyal Kushnir

Title: Eyal Kushnir: Innovator in Homomorphic Encryption and Graph Embedding

Introduction

Eyal Kushnir, an inventive mind based in Kfar Vradim, Israel, has made significant contributions to the field of cryptography with his innovative patent. His work focuses on enhancing data security through the use of fully homomorphic encryption, a cutting-edge approach that enables computations on encrypted data without needing to decrypt it.

Latest Patents

Kushnir holds a patent titled "Graph Based Embedding Under Fully Homomorphic Encryption." This patent presents mechanisms for graph embedding that operate under the auspices of fully homomorphic encryption. The invention involves receiving an encrypted graph data structure that contains both encrypted entities and predicates. For each encrypted entity, a corresponding set of entity ciphertexts is generated based on an initial embedding of entity features. Additionally, a corresponding predicate ciphertext is created for each encrypted predicate, based on an initial embedding of predicate features. By executing a machine learning process iteratively on these ciphertexts, Kushnir's method updates the embeddings of both entity features and predicate features, ultimately resulting in a refined computer model that outputs a final embedding.

Career Highlights

Eyal Kushnir is currently affiliated with the prestigious International Business Machines Corporation (IBM), where he continues to push the boundaries of technology. His career is marked by a commitment to innovation and patentable inventions, which contribute immensely to the advancement of secure data processing.

Collaborations

Throughout his career, Kushnir has had the opportunity to collaborate with talented individuals such as Allon Adir and Ramy Masalha. These partnerships have been instrumental in fostering novel ideas and refining advanced technological solutions, particularly in the realm of encryption and machine learning.

Conclusion

Eyal Kushnir's contributions to fully homomorphic encryption and graph embedding exemplify the innovative spirit vital to advancing technology today. His unique approaches, combined with collaboration at IBM, position him as a notable inventor in the field, paving the way for future advancements in secure data processing.