Sharjah, United Arab Emirates

Tamer Rabie


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Inventor Tamer Rabie: Pioneering Watermarking in Deep Neural Networks

Introduction

Tamer Rabie, an innovative inventor based in Sharjah, AE, has made significant strides in the field of digital watermarking for deep neural networks (DNN). With a focus on enhancing the security and integrity of neural network models, his work stands out for its robustness and efficiency.

Latest Patents

Tamer holds a pivotal patent for a "DCT-based watermarking scheme for deep neural networks." This invention presents a novel DNN watermarking method that embeds portions of a digital watermark into selected redundant elements of DNN models. Notably, this embedding does not compromise the model's performance. The method aims to create a robust watermark by embedding a large watermark that encompasses the entire DNN model. Tamer's invention intricately addresses the challenge of ensuring the watermark's stability; even the slightest attempt by an adversary to destroy the watermark would result in the destruction of the entire DNN model. He expertly navigates the capacity-performance trade-off problem, crucially utilizing the Discrete Cosine Transform (DCT) to solve these issues. By segmenting the weights of the DNN model into correlated segments, Tamer maximizes the advantages of the DCT.

Career Highlights

Tamer Rabie is affiliated with the University of Sharjah, where he contributes to advancing research in innovative technologies. His work encompasses not just watermarking but also broader applications in neural networks, showcasing his expertise in areas critical to the evolving landscape of artificial intelligence.

Collaborations

Collaborating closely with colleagues Mohammed Baziyad and Ibrahim Kamel, Tamer fosters a productive environment for research and innovation. Their collective efforts amplify the potential impact of their projects, driving advancements in their specialized fields.

Conclusion

In summary, Tamer Rabie's contributions to the field of deep neural networks through innovative watermarking techniques are commendable. His work not only enhances the security of DNN models but also addresses critical challenges faced by developers in this domain. Tamer's ongoing research and collaborations at the University of Sharjah continue to inspire advancements in technology and innovation, marking him as a notable figure in the field of digital security.

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