Granted

• Automated Cybersecurity Vulnerability Prioritization
  Aolin Ding, Hodaya Binyamini, Gal Engelberg, Louis William Divalentin, Benjamin Glen Mccarty, Dan Klein, Amin Hass
  U.S. Patent No. 12,476,994, 2024 (Granted)
  ▸ Ranks security vulnerabilities by risk so defenders can fix the most dangerous weaknesses first.

• Privacy-preserving Machine Learning Training Based on Homomorphic Encryption using Executable File Packages in an Untrusted Environment
  Amin Hassanzadeh, Neil Hayden Liberman, Aolin Ding, Malek Ben Salem
  U.S. Patent No. 12,248,601, 2023 (Granted)
  ▸ Lets organizations build shared AI security tools without exposing each other's private data.

• Privacy-preserving Collaborative Machine Learning Training using Distributed Executable File Packages in an Untrusted Environment
  Amin Hassanzadeh, Neil Hayden Liberman, Aolin Ding, Malek Ben Salem
  U.S. Patent No. 12,387,215, 2022 (Granted)
  ▸ Enables secure cross-organization collaboration on AI security systems without centralizing sensitive data.

• Privacy Preserving Cooperative Learning in Untrusted Environments
  Aolin Ding, Amin Hassanzadeh
  U.S. Patent No. 12,229,280, 2022 (Granted)
  ▸ Prevents compromised participants in a shared security network from stealing other organizations' private data.

Pending

• Adaptive Data Augmentation and Calibration For Textual Pattern Recognition
  Minxue Tang, Yangyang Yu, Aolin Ding, Maziyar Baran Pouyan, Taha Belkhouja, Yujia Bao
  U.S. Patent App. 19/423,441, 2025 (Pending)
  ▸ Hardens AI-based threat detection systems against attackers who deliberately try to deceive them.

• Contextual Sanitization and Re-enrichment using Large Language Models
  Malek Ben Salem, Louis Divalentin, Aolin Ding
  U.S. Patent App. 18/811,540, 2024 (Pending)
  ▸ Automatically scrubs sensitive personal data from enterprise systems so security investigations stay privacy-safe.

• Systems and Methods for Defending an Artificial Intelligence Model Against Adversarial Input
  Louis Divalentin, Changwei Liu, Aolin Ding, Malek Ben Salem
  U.S. Patent App. 18/199,360, 2024 (Pending)
  ▸ Shields AI systems in security-critical applications from manipulation attacks that cause dangerous misbehavior.

• System and Method for Explainable Anomaly Detection
  Kyeong Jin Kim, Aolin Ding, Ye Wang, Koike Akino Toshiaki, Kieran Parsons
  U.S. Patent App. 18/068,537, 2022 (Pending)
  ▸ Explains why an AI system flagged suspicious activity in industrial environments, speeding incident response.