datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cascade-multi-ai-redteam-miss-exploit-patch-trust-collapse-v0.1
What this repo does
This dataset tests whether a model can detect a security cascade in AI deployment.
You provide structured signals about:
red-team coverage and disclosure
exploitability and incident rate
patch latency and rollout friction
downstream dependency depth
trust decay and regulatory attention
The model predicts whether the interaction crosses into a cascade event.
Core quad
The structural quad inside this cascade:
red_team_coverage
exploitability_index… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-multi-ai-redteam-miss-exploit-patch-trust-collapse-v0.1.1_exploitsknown_exploited_vulnerabilitiesExploitVectors
ExploitVectors
tags: Injection, Exploit Methods, Classification
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'ExploitVectors' dataset is a curated collection of textual descriptions detailing various types of cybersecurity exploits. Each entry in the dataset provides a brief explanation of the exploit method, followed by an indication of its potential impact level and classification. This dataset can be useful for… See the full description on the dataset page: https://huggingface.co/datasets/timmaythetoolmann/ExploitVectors.