Beersheba, Israel

Amit Giloni

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignees: Ben-Gurion University of the Negev Research and Development Authority, Fujitsu Corporation. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Amit Giloni

Introduction

Amit Giloni is a notable inventor based in Beersheba, Israel. He has made significant contributions to the field of information processing, particularly in the area of adversarial patch detection systems. His innovative approach has led to the development of a unique patent that addresses critical challenges in object detection.

Latest Patents

Amit Giloni holds a patent for an "Adversarial patch detection system based on extracted projection area of an input image." This invention involves an information processing apparatus that extracts a projection area of an object from an input scene. It specifies second areas included in the extracted projection area that are similar to first areas representing features in a feature space. The system outputs a classification result based on these areas and determines whether an adversarial patch is present by comparing classification results from a predetermined object detection model.

Career Highlights

Throughout his career, Amit has worked with prominent organizations such as Fujitsu Corporation and Ben-Gurion University of the Negev Research and Development Authority. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in his field.

Collaborations

Amit has collaborated with talented individuals, including Omer Hofman and Ikuya Morikawa. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Amit Giloni's work exemplifies the spirit of innovation in the realm of information processing. His contributions, particularly in adversarial patch detection, highlight the importance of research and collaboration in advancing technology. His patent stands as a testament to his expertise and dedication to solving complex problems in the field.

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