Model security
Measures to protect models from theft, tampering, or misuse.
Definitions (2)
Technical and organizational measures designed to protect model integrity, confidentiality, and availability against theft, tampering, adversarial exploitation, and misuse, including access controls, provenance tracking, and incident response protocols.
Technical and organisational controls to protect the confidentiality, integrity and availability of AI models and related assets, including anti‑poisoning measures, access controls, provenance tracking, adversarial robustness testing and protections against model extraction or misuse.
Related Terms
Secure AI
Protection against malicious manipulation and unauthorized access....
Security (AI)
Protection of AI systems from malicious attacks....
Trust/security
Privacy, data governance, robustness and cybersecurity....
model transparency
Clarity about a model's operation, inputs, outputs and limitations....
Model robustness
Resistance of AI models to errors, attacks and unexpected inputs....