Researchers discovered two malicious ML models on Hugging Face exploiting “broken” pickle files to evade detection, bypassing ...

The popular Python Pickle serialization format, which is common for distributing AI models, offers ways for attackers to ...

Dubbed “nullifAI,” a Tactic for Evading Detection in ML Models Targeted Pickle Files, Demonstrates Fast-Growing Cybersecurity Risks Presented by ...

The technique, called nullifAI, allows the models to bypass Hugging Face’s protective measures against malicious AI models ...

MLCommons, a nonprofit AI safety working group, has teamed up with AI dev platform Hugging Face to release one of the world’s largest collections of public domain voice recordings for AI research.

Hugging Face researchers released an open source AI research agent called "Open Deep Research," created by an in-house team ...

Hugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, ...

A group of developers at Hugging Face say that they've built an 'open' version of OpenAI's deep research tool.

MLCommons, a nonprofit AI safety working group, has teamed up with AI dev platform Hugging Face to release one of the world's largest collections of public domain voice recordings for AI research. The ...

While DeepSeek-R1 model weights are available in the public domain, the datasets and code used to train the model are not.

The algorithm is the latest in a series of open-source vision language models released by Hugging Face. Compared with the company’s earlier models, one of the main improvements in SmolVLM-256M ...