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Learn about critical security vulnerabilities in machine learning model hubs and essential defense strategies in this 26-minute conference talk from Cloud Security Alliance. Explore how public model repositories like Hugging Face can become vectors for Model Serialization Attacks (MSA), where malicious code is injected into model files to execute automatically during deserialization. Discover alarming statistics showing over 3,300 public models on Hugging Face capable of arbitrary code execution, with 41% going undetected by safety measures. Master two key defensive strategies using open-source tools: implement model scanning with ModelScan by Protect AI and utilize cryptographic signing with Sigstore by OpenSSF. Understand how these industry-standard security practices, while common in traditional software development, can be applied to protect AI/ML systems from compromised artifacts and unauthorized code execution.
