For the Inventor, By the Inventor

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Austin, TX, United States of America

Hiddenlayer, Inc.

USPTO Granted Patents = 44

Trademarks = 2

Forward Citations = 202

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20 inventors (with patents filed for the assignee):

Kenneth Yeung (19 out of 20 patents)

Tanner Burns (18 out of 18 patents)

Andrew Davis (15 out of 38 patents)

4. Kwesi Cappel (13 out of 13 patents)

5. Jason Martin (8 out of 47 patents)

6. Julian Collado Umana (8 out of 9 patents)

7. David Beveridge (6 out of 6 patents)

8. Chris Sestito (5 out of 5 patents)

9. James Ballard (4 out of 4 patents)

10. Amelia Kawasaki (4 out of 4 patents)

11. Ravikumar Balakrishnan (3 out of 33 patents)

12. Thomas Bonner (2 out of 2 patents)

13. Kasimir Ralph Peter Schulz (2 out of 2 patents)

14. Marta Janus (1 out of 1 patent)

15. Eoin Wickens (1 out of 1 patent)

Core Competencies:

Generative AI

Adversarial Attack

Data Obfuscation

Model Protection

Machine Learning

Information Leakage

Prompt Injection

False Positives

Model Fingerprinting

Threat Detection

Privacy Attacks

Activation Analysis

44 patents: Sort by Forward Citations

1. 12750400 - Detection of machine learning model attacks obfuscated in unicode (2026-09-29),

2. 12731008 - Data obfuscation using encoder-multi-decoder architecture (2026-09-08),

3. 12724894 - Generative AI model protection using sidecars (2026-09-01),

4. 12724883 - Machine learning model adversarial attack monitoring (2026-09-01),

5. 12717909 - Generative artificial intelligence model output obfuscation (2026-08-25),

6. 12682249 - Agentic-based approach for reducing false positives in machine learning model output classifications (2026-07-14),

7. 12657297 - GenAI prompt injection classifier training using prompt attack structures (2026-06-16),

8. 12632545 - Generative AI model information leakage prevention (2026-05-19),

9. 12608861 - Model output steering using universal images (2026-04-21),

10. 12596965 - Cross-model format comparison (2026-04-07),

11. 12596839 - Selective redaction of personally identifiable information in generative artificial intelligence model outputs (2026-04-07),

12. 12580957 - Adversarial attack detection based on similarity (2026-03-17),

13. 12572777 - Policy-based control of multimodal machine learning model via activation analysis (2026-03-10),

14. 12554855 - Generative artificial intelligence model protection using prompt blocklist (2026-02-17),

15. 12549598 - Defense of multimodal machine learning models via activation analysis (2026-02-10),

Hiddenlayer, Inc. is a technology company based in Austin, TX, specializing in advanced machine learning and artificial intelligence solutions. The organization focuses on developing innovative tools that enhance the security and integrity of AI systems, addressing critical challenges in the deployment of machine learning applications. By leveraging cutting-edge research, Hiddenlayer aims to provide robust solutions that protect against adversarial attacks and ensure the reliability of AI-driven technologies across various industries.

Profile summary based on public USPTO records.

Company Badge

USPTO Data Jan 1 1976 - Sep 29 2026

44 Patents

#66 in Austin, TX

#442 in Texas

#7,944 in US

#15,727 in the World

Austin, TX, United States of America

Hiddenlayer, Inc.

Forward Citations = 202

20 inventors:

Kenneth Yeung (19 out of 20 patents)

Tanner Burns (18 out of 18 patents)

Andrew Davis (15 out of 38 patents)

4. Kwesi Cappel (13 out of 13 patents)

5. Jason Martin (8 out of 47 patents)

Please report any incorrect information to [email protected]

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