Advancing Security Standards in Open-Source AI
PyTorch Adopts Safetensors to Secure AI Model Ecosystem
The PyTorch Foundation integrates the Hugging Face format to prevent code execution risks in the open-source AI stack.
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The PyTorch Foundation officially announced Safetensors as its newest hosted project to improve security for open-source artificial intelligence [1]. Developed by Hugging Face, Safetensors serves as a secure format for storing and loading tensors [2]. This move aims to protect the global AI ecosystem from vulnerabilities common in older distribution methods [3]. The format prevents arbitrary code execution, a major risk found in previous serialization tools like Python’s "pickle" [1]. By adopting this standard, the Linux Foundation and PyTorch prioritize safety for developers sharing models [2]. This change ensures that large-scale model weights remain tamper-proof during the transfer process [3].
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Sources
- 1.↗
prnewswire.com
https://www.prnewswire.com/news-releases/pytorch-foundation-announces-safetensors-as-newest-contributed-project-to-secure-ai-model-execution-302736068.html
- 2.↗
linuxfoundation.org
https://www.linuxfoundation.org/press/pytorch-foundation-announces-safetensors-as-newest-contributed-project-to-secure-ai-model-execution?hs_amp=true
- 3.↗
hpcwire.com
https://www.hpcwire.com/off-the-wire/pytorch-foundation-announces-safetensors-as-newest-contributed-project-to-secure-ai-model-execution/
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Avantgarde News Desk covers advancing security standards in open-source ai and editorial analysis for Avantgarde News.