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For the Inventor, By the Inventor

Chappaqua, NY, United States of America

Ian M Molloy

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This inventor holds 65 USPTO granted patents and 10 published patent applications, primarily in Adversarial Machine Learning (CPC class G06F). Top assignees: International Business Machines Corporation, Arkose Labs Holdings, Inc., Globalfoundries Inc.. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ian M Molloy. Retrieved from https://idiyas.com/inventor/ian-m-molloy

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

USPTO Granted Patents = 65 

% Patents Active = 76.9

Average Co-Inventor Count = 3.8

ph-index = 9

Forward Citations = 305(Granted Patents)

Forward Citations (Not Self Cited) = 255(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • White Plains, NY (US) (2015)
  • Ridgefield, CT (US) (2023)
  • Chappaqua, NY (US) (2015 - 2024)
  • Westchester, NY (US) (2020 - 2024)

Company Filing History:

goldMedal61 out of 166,325 
 
International Business Machines Corporation
 patents
silverMedal3 out of 12 
 
Arkose Labs Holdings, Inc.
 patents
bronzeMedal1 out of 5,671 
 
Globalfoundries Inc.
 patents

Years Active: 2015-2026

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Areas of Expertise:
Adversarial Examples
Deep Neural Networks
Anomaly Detection
Robustness Certification
Data Exploration
Information Leakage
Behavioral Biometrics
Model Stealing
Gradient Deception
Security Threats
Automatic Audit Logging
Password Cracking
65 patents (USPTO):Explore Patents
1. 12743618 - Privacy enhancing deep learning cloud service using a trusted execution environment (2026-09-22),
2. 12694328 - Automatic generation of training data for anomaly detection using other user's data samples (2026-07-28),
3. 12625900 - Unified data classification techniques (2026-05-12),
4. 12326940 - Graph exploration framework for adversarial example generation (2025-06-10),
5. 12288154 - Adaptive robustness certification against adversarial examples (2025-04-29),
6. 12050993 - Dynamic gradient deception against adversarial examples in machine learning models (2024-07-30),
7. 12045713 - Detecting adversary attacks on a deep neural network (DNN) (2024-07-23),
8. 12019747 - Adversarial interpolation backdoor detection (2024-06-25),
9. 12019720 - Spatiotemporal deep learning for behavioral biometrics (2024-06-25),
10. 11977625 - Using multimodal model consistency to detect adversarial attacks (2024-05-07),
11. 11886989 - System for measuring information leakage of deep learning models (2024-01-30),
12. 11853436 - Protecting cognitive systems from model stealing attacks (2023-12-26),
13. 11847555 - Constraining neural networks for robustness through alternative encoding (2023-12-19),
14. 11816575 - Verifiable deep learning training service (2023-11-14),
15. 11783025 - Training diverse and robust ensembles of artificial intelligence computer models (2023-10-10),

Title: Inventor Ian M Molloy - Pioneering Innovations in Chappaqua

Introduction: Ian M Molloy is a distinguished inventor based in Chappaqua, NY, known for his groundbreaking contributions to various technological fields.

Latest Patents: Ian M Molloy holds several patents in the areas of renewable energy technologies, artificial intelligence systems, and medical devices, showcasing his versatility and ingenuity.

Career Highlights: With a career spanning over two decades, Ian M Molloy has worked with leading research institutions and companies to develop cutting-edge solutions that have had a significant impact on the industry.

Collaborations: Ian M Molloy has collaborated with top engineers, scientists, and designers to bring his ideas to life, fostering a culture of innovation and excellence in every project he undertakes.

Conclusion: Ian M Molloy's passion for pushing the boundaries of technology and his relentless pursuit of innovation continue to inspire the next generation of inventors and entrepreneurs.

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]
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