← all papers · overview

Hidden In Plain Sight: Exploring Chat History Tampering In Interactive Language Models

Abstract

Large Language Models (LLMs) such as ChatGPT and Llama have become prevalent in real-world applications, exhibiting impressive text generation performance. LLMs are fundamentally developed from a scenario where the input data remains static and unstructured. To behave interactively, LLM-based chat systems must integrate prior chat history as context into their inputs, following a pre-defined struc

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).