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Join our teamIn 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 confidence values. To reduce the risks of adversarial attacks, eIQ ML software provides hardening steps to make model input manipulation more difficult.