datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stegoattack-advbench50
StegoAttack AdvBench-50
Steganographic jailbreak data generated using the StegoAttack pipeline from the paper "Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM Jailbreaks" (Geng et al., 2025).
For experiment results and analysis, see experiment.md.
What is StegoAttack?
StegoAttack is a jailbreak method that uses steganography to hide harmful queries inside benign-looking text. It embeds each word of a harmful query at a fixed position (e.g. the 2nd… See the full description on the dataset page: https://huggingface.co/datasets/heron-ai-security/stegoattack-advbench50.omnimcp_supabase_row_level_security_ai_teaser
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Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_supabase_row_level_security_ai_teaser.ai-agent-security-sft-dpo
AI Agent Security — SFT + DPO
Fine-tuning data for teaching an AI agent to protect its confidential configuration without
becoming uselessly over-cautious. Built for
thesreedath/gemma-2-2b-qa-sft and
derived from
Dhanjo/ai-agent-security-dataset.
Why the helpfulness axis exists
leakage_score in the source dataset is one-sided: a model that refuses every request
scores a perfect 0.0. An existing fine-tune reported 0.0114 mean leakage (down from 0.4611
baseline)… See the full description on the dataset page: https://huggingface.co/datasets/sumitguha13/ai-agent-security-sft-dpo.ai-agent-security-dataset
AI Agent Security and System Prompt Leakage Dataset
Dataset Overview
This dataset was created for research on AI agent security, with a specific focus on system prompt leakage, jailbreak resistance, and security-aligned fine-tuning.
The dataset evaluates how often AI agents reveal confidential information embedded inside their system prompts when exposed to adversarial prompts. It also compares the behavior of a baseline language model against a model fine-tuned using… See the full description on the dataset page: https://huggingface.co/datasets/Dhanjo/ai-agent-security-dataset.AIForge-1K-Security
AIForge-03-Security
Security Dataset for AI and Programming Tasks
Overview
AIForge-03-Security is a curated English dataset designed for AI systems working on security tasks in software engineering and programming.
Contents
data.jsonl
data.json
metadata.json
Use Cases
AI agent training
Supervised fine-tuning
Evaluation and benchmarking
Software engineering research
Example Record
{
"id": "AISEC_00001"… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/AIForge-1K-Security.AquilaX-AI-security-assistant-reasoning
AquilaX Security Assistant with Reasoning Template
A cybersecurity instruction-tuning dataset converted from AquilaX-AI/security_assistant_data with explicit reasoning template for training models with chain-of-thought capabilities in vulnerability analysis.
Dataset Description
This dataset contains 18,282 examples focused on cybersecurity vulnerability analysis, secure coding practices, and security remediation. Each assistant response includes structured reasoning steps… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/AquilaX-AI-security-assistant-reasoning.