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For the Inventor, By the Inventor

Nice, France

Slim Trabelsi

USPTO Granted Patents = 13 

 

Average Co-Inventor Count = 2.3

ph-index = 2

Forward Citations = 43(Granted Patents)


Location History:

  • Mougins, FR (2013)
  • Nice, FR (2013 - 2019)
  • Biot, FR (2018 - 2024)

Company Filing History:

goldMedal11 out of 5,919 
 
Sap Se
 patents
silverMedal2 out of 3,607 
 
Sap Ag
 patents

Years Active: 2013-2025

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13 patents (USPTO):Explore Patents
1. 12373523 - Machine-learning for password guess risk determination (2025-07-29),
2. 12047393 - Computer system attack detection (2024-07-23),
3. 12001530 - Machine-learning for password guess risk determination (2024-06-04),
4. 11481501 - Low false positive token identification in source code repositories using machine learning (2022-10-25),
5. 11087098 - Computer systems for classifying multilingual text (2021-08-10),
6. 10771503 - Dissuading stolen password reuse (2020-09-08),
7. 10360271 - Mining security vulnerabilities available from social media (2019-07-23),
8. 10127385 - Automated security vulnerability exploit tracking on social media (2018-11-13),
9. 10003578 - Anonymous sharing of microblog publication (2018-06-19),
10. 9514494 - Prevention of coalition attacks in social network communities (2016-12-06),
11. 9491198 - Obligation enforcement for resource access control (2016-11-08),
12. 8539599 - Password protection using personal information (2013-09-17),
13. 8533464 - Revocation of credentials in secret handshake protocols (2013-09-10),

Title: The Innovative Mind of Slim Trabelsi

Introduction

Slim Trabelsi is a notable inventor based in Nice, France. He has made significant contributions to the field of technology, particularly in machine learning and cybersecurity. With a total of 13 patents to his name, Trabelsi's work reflects a deep understanding of modern challenges in digital security.

Latest Patents

Among his latest patents is a groundbreaking method for machine-learning for password guess risk determination. This invention utilizes online text sources and natural language processing techniques to generate efficient password guesses. By exploiting semantic structures in passwords, the system enhances the ability to identify weak passwords that traditional meters might deem safe. This innovation is particularly relevant in rapidly evolving domains, adapting to new slang and vocabulary from emerging products and services.

Another significant patent is focused on computer system attack detection. This invention combines machine learning with rule-based techniques to automatically identify social engineering attacks. The detection process involves three phases: attack contextualization, intention classification, and security policy violation detection. Each phase generates a score that reflects the danger level of the communication thread, allowing for a comprehensive assessment of potential threats.

Career Highlights

Throughout his career, Slim Trabelsi has worked with prominent companies such as SAP SE and SAP AG. His experience in these organizations has undoubtedly contributed to his innovative mindset and technical expertise.

Collaborations

Trabelsi has collaborated with talented individuals in the field, including Laurent Y Gomez and Gilles Montagnon. These partnerships have likely fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Slim Trabelsi's contributions to technology through his patents demonstrate his commitment to enhancing digital security and innovation. His work continues to influence the landscape of machine learning and cybersecurity, making him a significant figure in the field.

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