Recently, cybersecurity researchers discovered two malicious machine learning models that were uploaded quietly to the renowned machine learning platform HuggingFace. These models utilized a novel technique, successfully bypassing security detection through 'corrupted' pickle files, raising concerns. Karlo Zanki, a researcher at ReversingLabs, pointed out that the beginning of the pickle files extracted from these PyTorch format archives suggests that

Microsoft's recently launched screen content parsing tool OmniParser has jumped to the top of the Most Popular Models on the artificial intelligence open-source platform HuggingFace this week. According to HuggingFace co-founder and CEO Clem Delangue, this is the first parsing tool to achieve this honor in the field. OmniParser is primarily used to convert screenshots into structured data, aiding other systems in better understanding and processing graphical user interfaces. The tool utilizes a collaborative approach with multiple models: YO

The AI company Runway's content on the HuggingFace platform was cleared, sparking widespread attention both within and outside the industry. As an open-source platform for machine learning models and datasets, the content on HuggingFace is crucial for researchers and developers. This incident has ignited heated discussions on Twitter, highlighting the challenges platforms face in responding to emergencies and protecting user rights. As a key player in the AI community, the disappearance of Runway's content affects numerous researchers, raising concerns about data security, corporate responsibility, and user trust.