Hugging Face 攜手 Protect AI：為機器學習社群強化模型安全防護
Original: Hugging Face Teams Up with Protect AI: Enhancing Model Security for the ML Community
As open-source AI models have flourished, Hugging Face has become the central platform through which developers worldwide access and share…
Hugging Face 宣布與 AI 安全領導廠商 Protect AI 展開合作，旨在提升開源機器學習（ML）社群的模型安全性。雙方將共同應對日益嚴重的開源模型安全威脅，如惡意代碼注入與反序列化漏洞。透過整合先進的安全掃描技術，此合作將幫助開發者在 Hugging Face Hub 上更安全地分享與下載模型，降低供應鏈安全風險。
As open-source AI models have flourished, Hugging Face has become the central platform through which developers worldwide access and share machine learning models. However, this has also brought new types of security challenges — for example, malicious users may embed malicious code in model weights or configuration files (such as the commonly exploited Pickle deserialization vulnerability), or engage in model poisoning.
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