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For the Inventor, By the Inventor

Ridgefield, CT, United States of America

Taesung Lee

USPTO Granted Patents = 29 

Average Co-Inventor Count = 3.7

ph-index = 5

Forward Citations = 76(Granted Patents)


Location History:

  • White Plains, NY (US) (2019 - 2021)
  • Ridgefield, CT (US) (2020 - 2024)

Company Filing History:

goldMedal29 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

29 patents (USPTO):
1. 12326940 - Graph exploration framework for adversarial example generation (2025-06-10),
2. 12288154 - Adaptive robustness certification against adversarial examples (2025-04-29),
3. 12147879 - Federated learning with dataset sketch commitment based malicious participant identification (2024-11-19),
4. 12050993 - Dynamic gradient deception against adversarial examples in machine learning models (2024-07-30),
5. 12019747 - Adversarial interpolation backdoor detection (2024-06-25),
6. 12019720 - Spatiotemporal deep learning for behavioral biometrics (2024-06-25),
7. 11977625 - Using multimodal model consistency to detect adversarial attacks (2024-05-07),
8. 11853436 - Protecting cognitive systems from model stealing attacks (2023-12-26),
9. 11847555 - Constraining neural networks for robustness through alternative encoding (2023-12-19),
10. 11783025 - Training diverse and robust ensembles of artificial intelligence computer models (2023-10-10),
11. 11775637 - Recurrent neural network based anomaly detection (2023-10-03),
12. 11675896 - Using multimodal model consistency to detect adversarial attacks (2023-06-13),
13. 11494496 - Measuring overfitting of machine learning computer model and susceptibility to security threats (2022-11-08),
14. 11443178 - Deep neural network hardening framework (2022-09-13),
15. 11301563 - Recurrent neural network based anomaly detection (2022-04-12),

Title: Recognizing Taesung Lee: A Leader in Machine Learning Innovations

Introduction

Taesung Lee is an accomplished inventor based in Ridgefield, CT, known for his significant contributions to the field of machine learning. With a remarkable portfolio of 27 patents, he has established himself as a leading figure in the development of innovative solutions that advance technology.

Latest Patents

Among his recent patents, Taesung has developed groundbreaking technologies that push the boundaries of federated learning. One such patent, titled "Federated learning with dataset sketch commitment based malicious participant identification," introduces mechanisms for identifying potentially malicious participants during the collaborative training of machine learning models. By analyzing statistical characteristics of local datasets, the technology discards model updates from malicious participants, ensuring the integrity of the overall model.

Another notable patent is "Dynamic gradient deception against adversarial examples in machine learning models." This innovation focuses on obfuscating the configurations of trained machine learning models while maintaining their classification accuracy. By inserting perturbations into classification values, Taesung’s invention protects models from adversarial attacks, enhancing their reliability and performance.

Career Highlights

Taesung Lee works with the International Business Machines Corporation (IBM), where he continues to drive advancements in machine learning technologies. His career is marked by a commitment to pushing the boundaries of artificial intelligence research and its practical applications, contributing to IBM's reputation as a leader in the tech industry.

Collaborations

Throughout his career, Taesung has collaborated with esteemed colleagues, including Ian M Molloy and Youngja Park. These partnerships highlight the collaborative nature of innovation at IBM, where diverse talents converge to create cutting-edge solutions in machine learning.

Conclusion

Taesung Lee's innovative spirit and expertise in machine learning position him as an influential inventor in the technology sector. His patents not only reflect his deep understanding of complex algorithms but also demonstrate the potential for future applications that can enhance various industries. As machine learning continues to advance, inventions like those of Taesung will play a crucial role in shaping a smarter, more efficient world.

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