most citedA Split-and-Privatize Framework for Large Language Model Fine-Tuning

3 citations · 3 across the 4 of their papers we have counts for

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cs.CR2025

Black-box Optimization of LLM Outputs by Asking for Directions

Jie Zhang, Meng Ding, Yang Liu +2

We present a novel approach for attacking black-box large language models (LLMs) by exploiting their ability to express confidence in natural language. Existing black-box attacks r…

cs.CR2025

AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection

Peiran Wang, Yang Liu, Yunfei Lu +6

Large Language Model (LLM) agents offer a powerful new paradigm for solving various problems by combining natural language reasoning with the execution of external tools. However,…