Leonberg, Germany

Christopher Huth

This inventor holds 29 USPTO granted patents and 29 published patent applications and 4 EPO patents, primarily in Fuzz Testing Techniques. Top assignee: Robert Bosch. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christopher Huth. Retrieved from https://idiyas.com/inventor/christopher-huth

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 29 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 9(Granted Patents)


Location History:

  • Leonberg, DE (2018 - 2023)
  • Weil der Stadt, DE (2023)
  • Heilbronn, DE (2023)

Company Filing History:


Years Active: 2018-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
Fuzz Testing
Machine Learning
Network Security
Cyberattack Protection
Software Update Management
Data Communication
MEMS Sensor
Authentication Methods
Computational Fuzzy Extractor
Embedded Systems
Version Control
Dynamic Instrumentation
29 patents (USPTO):Explore Patents

Title: The Innovations of Christopher Huth: A Pioneer in Software Fuzz Testing

Introduction: Christopher Huth, based in Leonberg, Germany, is an esteemed inventor known for his significant contributions to the field of software testing. With an impressive portfolio of 21 patents, Huth has made remarkable strides in the development of methods and devices that enhance program code reliability.

Latest Patents: Among his latest inventions, Huth has developed innovative methods for fuzz testing, which is crucial for identifying vulnerabilities in software. His patent titled "Method and device for operating fuzz testing of a program code" encompasses a computer-implemented process that involves providing a modified program code and monitoring its execution sequence. When it detects an impermissible execution sequence, it signals a program termination to prevent malfunction. Another notable patent, "Method for fuzz testing," outlines a process of utilizing machine learning to generate fuzzing inputs based on the captured memory context information and input data, ultimately aimed at testing the target software's robustness.

Career Highlights: Christopher Huth is currently employed at Robert Bosch GmbH, a renowned company that is at the forefront of technology and innovation. His role involves pushing the boundaries of software reliability through rigorous testing methodologies.

Collaborations: Huth has collaborated with other talented professionals like Paulius Duplys and Simon Greiner, combining their expertise to advance the field of software testing and ensure high-quality software outputs.

Conclusion: Christopher Huth continues to be a pivotal figure in the realm of software innovation, particularly in fuzz testing. His patents and collaborative efforts exemplify his commitment to improving software reliability, underscoring his status as a leading inventor in the technology sector.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…