Researchers at South Korea's Korea Advanced Institute of Science and Technology (KAIST) and data intelligence company S2W have created a large language model (LLM) trained on Dark Web data.
The researchers fed the RoBERTa framework a database they compiled from the Dark Web via the Tor network to create the DarkBERT LLM, which can analyze and extract useful information from a new piece of Dark Web content composed in its own dialects and heavily-coded messages.
They demonstrated DarkBERT's superior performance to other LLMs, which should enable security researchers and law enforcement to delve deeper into the Dark Web.
From Tom's Hardware
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