intent-drift-detection

Here are 2 public repositories matching this topic...

FDHTJ / DriftHunter

We define the intent drift detection task in continuous conversations. We then propose a differentiable method, termed DRIFTHUNTER, that enables neural networks to understand how user intent shifts as the conversation progresses via dynamically accumulating the temporal transition across turns.

intent-drift-detection standalone-continuous-conversion temporal-transition-accumulation

Updated Jun 6, 2025
Python

ppradyoth / intent-drift-playbook

Star

Intent drift detection & taxonomy for LLMs — how multi-turn jailbreaks (gradual drift, persona anchoring, trust escalation) evade single-turn scanners, and how to detect them.

jailbreak ai-safety social-engineering red-teaming ai-security prompt-injection llm-security llm-observability intent-drift-detection goal-drift intent-drift multi-turn-jailbreak

Updated Aug 30, 2026

Add this topic to your repo

To associate your repository with the intent-drift-detection topic, visit your repo's landing page and select "manage topics."

Learn more