arXiv (All)
open access
ENDOPROMPT: Victim-Side Pseudo-References for Utility Degradation
Prompt injection can degrade benign task performance without eliciting harmful content. Yet many attack objectives depend on task labels or predefined target responses. We present ENDOPROMPT, a white-box method that learns utility-degrading prefixes from unlabeled instructions. Its generator takes t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- NeuroLog: Reasoning You Can Audit -- Neuro-Symbolic Vulnerability Discovery via LLM Facts, Datalog, and SMT#246461
- GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM Agents#280223
- Using Stimulus Preference Assessments to Identify Preferred Break Environments#411517
- The many-to-many problem of endophenotypes in psychiatry - a biological perspective#224193
- Developmental Exposure to Endocrine Disruptors and Persistent Pollutants Heightens Addiction Risk via Toxicological Mechanisms.#161999
Record · ID 1078019
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive