PromptGraph: Graph-Guided Prompt Sanitization for Balancing Privacy and Utility in LLM Inference

arXiv:2607.10709 · cs.CR, cs.AI · Submitted 2026-07-12 · Read on arXiv

Chen Gu, Hui Wan, Donghui Hu, Hui Wang, Zhuoer Gu

cs.CR, cs.AI

Submitted: 2026-07-12

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Large Language Model — 10× in this paper
Consistency — 6× in this paper · explained in 3 episodes
Differential Privacy — 4× in this paper · explained in 4 episodes
Sparsity — 3× in this paper · explained in 4 episodes
Ablation — 2× in this paper · explained in 1 episode
Accountability — 2× in this paper · explained in 2 episodes
Differentially Private — 2× in this paper · explained in 3 episodes
Downstream Tasks — 2× in this paper · explained in 2 episodes
In-Context Learning — 2× in this paper · explained in 4 episodes
Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
Structured Prompting — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Information Leakage — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Peak Memory Overhead — 1× in this paper

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