Cybersecurity researchers found that malware was being distributed on Hugging Face by abusing Pickle file serialisation.
The technique, called nullifAI, allows the models to bypass Hugging Face’s protective measures against malicious AI models ...
Researchers discovered two malicious ML models on Hugging Face exploiting “broken” pickle files to evade detection, bypassing ...
Hugging Face's new Inference Providers feature is designed to make it easier for devs to run AI models using the hardware of ...
Hugging Face is a platform for viewing, sharing, and showcasing machine learning models, datasets, and related work. It aims ...
The popular Python Pickle serialization format, which is common for distributing AI models, offers ways for attackers to ...
Hugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, directly into its model pages. These providers are also integrated into ...
Now, 50,000 organizations, including Google and Microsoft, store models and data sets on Hugging Face. The company positions itself as the industry's Switzerland, a neutral platform available to ...
Dubbed “nullifAI,” a Tactic for Evading Detection in ML Models Targeted Pickle Files, Demonstrates Fast-Growing Cybersecurity Risks Presented by ...
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