1 link tagged with all of: security + machine-learning + model-signing + integrity
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Google, in collaboration with NVIDIA and HiddenLayer, has launched a stable version of its model signing library to enhance trust in machine learning models through cryptographic signing. This initiative aims to address security threats in the ML supply chain by allowing users to verify the integrity and provenance of models, thereby mitigating risks associated with malicious tampering. Future goals include extending model signing to datasets and automating incident response processes in the ML ecosystem.