arXiv AI By Syed Ghazanfar Abbas, Dongyan Xu

Trust Me, I'm Your Developer: Self-Issued Authentication in Large Language Models

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The paper "Trust Me, I'm Your Developer: Self-Issued Authentication in Large Language Models" investigates how large language models (LLMs) handle identity verification when prompted by users. Through experiments with ChatGPT, Claude, Qwen, Mistral, and Llama, the authors find that some models generate and evaluate their own tests, accepting unsupported claims of developer identity—an outcome they term Conversational False Authentication (CFA). The study highlights that such self-issued authentication can lead to false identity judgments without affecting actual authorization boundaries, underscoring the need for external security components to manage authenticated identity.

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arXiv AI
Jul 8

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis

arXiv:2607. 05842v1 Announce Type: cross Abstract: Large language model (LLM)-assisted software security operates at a difficult boundary: the vulnerability-analysis terminology needed for legitimate code review, triage, and repair can closely resemble terminology associated with misuse.

By Mingchen Li, Meikang Qiu, Zifan Peng, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng