San Jose, CA, United States of America

Steven Gans


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Steven Gans

Introduction

Steven Gans is a notable inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in the realm of generative adversarial networks (GANs). With a total of 2 patents to his name, Gans is recognized for his innovative approaches to secure deepfake generation and detection.

Latest Patents

Gans's latest patents include an "Authenticator-integrated generative adversarial network (GAN) for secure deepfake generation." This apparatus is designed to generate samples based on feedback from both a discriminator neural network and an authenticator neural network. The goal is to ensure that the generated samples are indistinguishable from real content while embedding an authentication code for verification.

Another significant patent is "Generator exploitation for deepfake detection." This invention focuses on modifying a generative neural network to enhance deepfake detection capabilities. It involves training the modified generative neural network alongside a discriminative neural network to identify deepfake content effectively.

Career Highlights

Steven Gans is currently employed at Intel Corporation, where he continues to push the boundaries of technology through his innovative work. His expertise in neural networks and deep learning has positioned him as a key player in the tech industry.

Collaborations

Gans collaborates with talented individuals such as Ilke Demir and Carl S Marshall, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Steven Gans exemplifies the spirit of innovation in technology through his groundbreaking patents and contributions at Intel Corporation. His work in generative adversarial networks is paving the way for advancements in secure content generation and detection.

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