Dany Shapiro

Title: Dany Shapiro: Innovator in Cybersecurity and Machine Learning

Introduction

Dany Shapiro is a prominent inventor based in Alfi Menashe, Israel. He has made significant contributions to the fields of cybersecurity and machine learning, holding a total of 5 patents. His innovative work focuses on enhancing data protection and predictive modeling techniques.

Latest Patents

One of Dany's latest patents is titled "Privacy preserving ensemble learning as a service." This patent describes a method for predicting results using ensemble models. The method involves receiving trained model data sets from model source nodes, which include a trained model, an important feature list, and a missing feature generator. It also includes generating a substitute feature to replace an input feature that is missing in the prediction request data set. The trained model is then executed using this substitute feature to obtain predictions, which are combined to yield a final prediction.

Another notable patent is "Cyber immunity system as a biological self-recognition model on operating systems." This invention outlines a method for data protection that includes cybersecurity operations and threat detection. It utilizes an anomaly detection engine to learn normal device behavior, allowing the system to detect threats based on deviations from this behavior rather than relying on known threat patterns.

Career Highlights

Dany Shapiro is currently employed at Emc IP Holding Company LLC, where he continues to develop innovative solutions in his field. His work has garnered attention for its practical applications in enhancing cybersecurity measures and improving machine learning processes.

Collaborations

Dany has collaborated with talented individuals such as Ohad Arnon and Shiri Gaber, contributing to the advancement of their shared projects and innovations.

Conclusion

Dany Shapiro's contributions to cybersecurity and machine learning exemplify the impact of innovative thinking in technology. His patents reflect a commitment to improving data protection and predictive analytics, making him a notable figure in his field.