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Awesome GitHub RepositoriesMachine Learning Security

Security protocols and access controls specifically designed for protecting machine learning models, datasets, and associated infrastructure.

Distinct from Machine Access Tokens: None of the candidates relate to the security of ML infrastructure; they focus on malware analysis or general access tokens.

Explore 1 awesome GitHub repository matching security & cryptography · Machine Learning Security. Refine with filters or upvote what's useful.

Awesome Machine Learning Security GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • huggingface/hub-docsAvatar de huggingface

    huggingface/hub-docs

    506Voir sur GitHub↗

    This repository serves as the documentation source for the Hugging Face Hub, a collaborative platform designed for hosting, versioning, and discovering machine learning models, datasets, and interactive applications. It provides the foundational infrastructure for managing machine learning assets through Git-based repositories, which support large file storage, branching, and comprehensive commit history. The platform distinguishes itself by integrating metadata-driven discovery and structured management systems that allow users to attach licensing, task categories, and performance metrics to

    Protecting assets through access tokens, GPG commit signing, malware scanning, and gated access requirements for sensitive datasets and models.

    Handlebarshacktoberfestmachine-learning
    Voir sur GitHub↗506
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