In addition to system-level security, NXP’s eIQ Machine Learning (ML) embedded software development environment
supports security measures to protect machine learning applications – including the protection against model
cloning, model private data extraction invasion, and adversarial attacks.
For anti-cloning, eIQ ML software provides software add-ons to harden ML models against the presented API-based
model extraction attacks.
To minimize privacy attacks, or model inversion, eIQ ML software provides an algorithm to reduce the accuracy of
To reduce the risks of adversarial attacks, eIQ ML software provides hardening steps to make model input
manipulation more difficult.