Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Homomorphic encryption for machine learning and neural networks using high-throughput CRT evaluation

Homomorphic encryption for machine learning and neural networks using high-throughput CRT evaluation

US Patent 11405176 · Granted Aug 2, 2022

Estimated economic value: $13,520,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Security-guided adjustment of time-sync frequency in time synchronized networkin2025
Detecting clock synchronization attacks with pseudo-randomization of frames in t2025
Security certificate management and misbehavior vehicle reporting in vehicle-to-2025
Scheduled-based low-latency detection for desynchronization attacks2025
Quarantine control network in a 5G RAN for coordinated multi-layer resiliency of2025
Misbehavior processing in connected vehicle networks2025
Clock manager redundancy for time synchronized networks2025
Physics-aware detector for protocol spoofing attacks in time synchronized networ2025
Time recovery from attacks on delayed authentication2025
Occupancy grid map computation, V2X complementary sensing, and coordination of c2025
Technologies for memory and I/O efficient operations on homomorphically encrypte2025
Technologies for memory and I/O efficient operations on homomorphically encrypte2025