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HyPE: Hyperbolic Prompt Espial

The HyPE package is the official implementation of the ICLR 2026 paper:

"Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization"

Overview

HyPE enables high-accuracy detection of harmful prompts using hyperbolic geometry.

Output format

The model follows a binary classification schema where:

  • 1: Harmless prompt
  • 0: Harmful prompt

Quickstart

Install

pip install hype-defense

Run inference

from hype import inference

pred = inference("two birds are flying in the sky")
print(pred)  # 1 = harmless, 0 = harmful

Documentation & code

Full documentation, training code, and additional examples are available here:

View GitHub Repository

Metadata

Release files for hype-hyps 0.1.1

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Source distribution for hype-hyps 0.1.1
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Table of built distributions (wheels) for hype-hyps 0.1.1
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hype_hyps-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 134.8 kB

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