Dataset Viewer
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
SCBE-AETHERMOORE Red Team & Benchmark Test Suites
Patent: USPTO #63/961,403 (provisional) Author: Issac Daniel Davis (ORCID: 0009-0002-3936-9369) Live Demos: https://aethermoorgames.com/demos/
What's Here
Adversarial Red Team Suite (16 files)
- 91 attack prompts across 10 categories
- Direct override, indirect injection, encoding obfuscation
- Multilingual attacks, adaptive sequences, tool exfiltration
- Tongue manipulation, spin drift, boundary exploits
- Combined multi-vector attacks
- Result: 91/91 blocked, 0 false positives
Benchmark Scripts (12 files)
scbe_vs_industry.py— Head-to-head vs ProtectAI DeBERTa v2 (411K downloads)spectral_sweep_benchmark.py— 8 configurations tested (C1-C3 controls, E1-E5 experimental)semantic_vs_stub_comparison.py— Semantic L3 vs character-counting stubhyperbolic_helix_test.py— Real Poincare ball Mobius additionnull_space_ablation.py— Attack fingerprinting by absent tongue dimensionsunified_triangulation.py— Combined system + null space analysis
Key Results
| System | Attacks Blocked | False Positives |
|---|---|---|
| No Protection | 0/91 | 0 |
| Meta Prompt Guard | 15/91 | ? |
| Keyword Filter | 27/91 | ? |
| ProtectAI DeBERTa v2 | 62/91 | ? |
| SCBE-AETHERMOORE | 91/91 | 0 |
Unique Detection Methods
- Null Space Signatures — attacks identified by which tongue dimensions are ABSENT
- Triple-Weight Remainder — three weighting methods (phi/moon/foam), disagreement = signal
- Session Suspicion — temporal accumulation across sequential prompts
- Semantic Tongue Coordinates — 130+ keywords mapped to 6 academic domains
HuggingFace Models
issdandavis/phdm-21d-embedding— 21D Polyhedral Hamiltonian Defense Manifold embeddingissdandavis/spiralverse-ai-federated-v1— Federated governance modelissdandavis/scbe-pivot-qwen-0.5b— Fine-tuned Qwen 0.5B for governance decisions
Install & Run
pip install scbe-aethermoore
python -m pytest tests/adversarial/ -v
python scripts/benchmark/scbe_vs_industry.py
NIST AI RMF Compliance
23/23 automated compliance checks pass (GOVERN, MAP, MEASURE, MANAGE).
License
Dual license: MIT (open source) + Commercial (contact aethermoregames@pm.me)
- Downloads last month
- 79