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For the Inventor, By the Inventor

Berkeley, CA, United States of America

Bryant R Chen

USPTO Granted Patents = 10 

Average Co-Inventor Count = 4.5

ph-index = 3

Forward Citations = 26(Granted Patents)


Location History:

  • Berkeley, CA (US) (2021)
  • San Jose, CA (US) (2021 - 2024)

Company Filing History:

goldMedal10 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2021-2024

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):
1. 12019747 - Adversarial interpolation backdoor detection (2024-06-25),
2. 11856021 - Detecting and mitigating poison attacks using data provenance (2023-12-26),
3. 11689566 - Detecting and mitigating poison attacks using data provenance (2023-06-27),
4. 11645515 - Automatically determining poisonous attacks on neural networks (2023-05-09),
5. 11601468 - Detection of an adversarial backdoor attack on a trained model at inference time (2023-03-07),
6. 11538236 - Detecting backdoor attacks using exclusionary reclassification (2022-12-27),
7. 11487963 - Automatically determining whether an activation cluster contains poisonous data (2022-11-01),
8. 11188789 - Detecting poisoning attacks on neural networks by activation clustering (2021-11-30),
9. 11165664 - Enforcing electronic service contracts between compu'iing devices (2021-11-02),
10. 11132444 - Using gradients to detect backdoors in neural networks (2021-09-28),

Title: The Innovative Contributions of Bryant R Chen

Introduction

Bryant R Chen is a prominent inventor based in Berkeley, CA. He has made significant contributions to the field of technology, particularly in the area of adversarial machine learning. With a total of 10 patents to his name, Chen continues to push the boundaries of innovation.

Latest Patents

Chen's latest patents include groundbreaking work in adversarial interpolation backdoor detection. This invention involves computer processors determining a tolerance value and a norm value associated with an untrusted model and an adversarial training method. The processors generate a plurality of interpolated adversarial images that range between a pair of images from different classes. This method allows for the detection of backdoors associated with untrusted models and enhances their security through training with the generated images.

Another notable patent focuses on detecting and mitigating poison attacks using data provenance. This method includes receiving observations and corresponding provenance data from various data sources. It determines whether the observations are poisoned based on the provenance data and removes any poisoned observations from the final training dataset. This innovative approach is crucial for maintaining the integrity of machine learning models in untrusted data environments.

Career Highlights

Bryant R Chen is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in machine learning and data security. His work has garnered attention for its practical applications in safeguarding AI systems against adversarial threats.

Collaborations

Chen collaborates with talented individuals in his field, including Heiko Hary Ludwig and Nathalie Baracaldo Angel. These partnerships enhance the innovative potential of his projects and contribute to the advancement of technology.

Conclusion

Bryant R Chen's contributions to the field of technology through his patents and collaborations highlight his role as a leading inventor. His work in adversarial machine learning and data security continues to shape the future of AI.

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