Search papers, labs, and topics across Lattice.
The University of Alabama
4
0
6
AIBOMs in Hugging Face models are structurally complete but lack essential AI-specific documentation, revealing critical transparency gaps in the AI supply chain.
Current open-source LLMs fall short in effectively classifying complex CTI reports, with the best model only achieving an F1 score of 0.22.
Fine-tuning Small Language Models on a comprehensive multi-source cybersecurity log dataset resulted in a dramatic leap in classification accuracy, highlighting the potential of cross-source data for enhanced threat detection.
LLMs can almost perfectly detect malicious software packages, but their accuracy plummets when asked to pinpoint *why* a package is malicious.
