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README.md

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+---
+library_name: pytorch
+tags: [prompt-injection, security, secureagentnet]
+---
+
+# SecureAgentNet detector checkpoints
+
+Checkpoints for [SecureAgentNet](https://github.com/MP-GOWTHAM/SecureAgentNet).
+They live here rather than in git because five of the project's checkpoints
+are 253 MB each, against GitHub's 100 MB per-file hard limit.
+
+| Directory | What it is | Held-out AUC |
+|---|---|---|
+| `ensemble_v4_persona` | From-scratch ensemble: char-CNN + BiLSTM-attention + scratch transformer, 12.3M params | 0.8278 |
+| `v3` | DistilBERT after the Track B online-retraining cycle, 66M params | 0.7875 |
+| `harm_detector` | Content-harm classifier (a separate axis from injection) | 0.9028 |
+
+The recommended runtime configuration is `combined_max` — the elementwise
+max of `ensemble_v4_persona` and `v3`. The two fail in opposite directions
+(dilution gap +0.142 vs −0.303), and the combination is the only one
+measured with no known blind spot: 8/8 canonical short attacks and 8/8 real
+evasions, FNR 0.035. It is a config referencing the two members, so it is
+recreated locally rather than stored here.
+
+Download with `scripts/bootstrap_windows.ps1` in the repo, or manually:
+
+```python
+from huggingface_hub import snapshot_download
+snapshot_download(repo_id="mpgowtham/secureagentnet-models", local_dir="secureagentnet/data/models")
+```
+
+See the repository's `docs/SecureAgentNet_Detector_Architecture.docx` for
+the full evaluation, including the configurations that failed.