Lightweight prompt injection detector: MiniLM + logistic regression, F1 just 61.6% on adversarial benchmark
Worldly_Yoghurt8850 · reddit · 2026-09-08
An open-source prompt injection detector using all-MiniLM-L6-v2 embeddings plus logistic regression runs without a GPU. Trained on 1,130 examples, it scores only 53.3% accuracy and 66.4% false positives on a frozen 227-example adversarial benchmark—benign security discussions trip it up. Next steps: hard negatives, contrastive pairs, chunk-aware detection.
More from Safety
- ShinyHunters threatens Florida DMV breach but proof is expired Epstein record — TechNadu · 2026-09-08
- Export Controls Working? H200 Sells for 280 and B300 for 450 Overseas — teortaxesTex · 2026-09-08
- Reddit asks: how would a China-US AI safety pause even work in practice? — sunstersun · 2026-09-08
- LG Smart TVs found uploading ~4GB of ACR data monthly and scanning every device on your network — ssh4net · 2026-09-08
- Beyond 'approve this tool call?': dev explores policy enforcement and intent checks for coding agents — Independent_Bag_2904 · 2026-09-08
- Humanos lets agents prove authorization before moving money with signed mandates — dscape · 2026-09-08