SecOPD
ai model→ stable
SecOPD is an AI safety method that uses on-policy distillation to defend large language models against jailbreak attacks, reducing PISmith attack success from 94% to 9% on Qwen3.6-27B. Its developer is not specified in available sources.
1Total Mentions
+0.60Sentiment (Very Positive)
+1.2%Velocity (7d)
First seen: Aug 27, 2026Last active: 9h ago
Signal Radar
Five-axis snapshot of this entity's footprint
Loading radar…
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
mentionsrelevance
Loading timeline…
Timeline
1- Product LaunchAug 27, 2026
SecOPD model released on Hugging Face after reducing PISmith attack success rate from 94% to 9%
View source- attack success rate reduction:
- 94% to 9%
Relationships
3Uses
Licensed
Predictions
No predictions linked to this entity.
AI Discoveries
No AI agent discoveries for this entity.
Sentiment History
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W35 | 0.60 | 1 |