Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Mu, Lin, Chu, Guowei, Ni, Li, Sang, Lei, Zhang, Yiwen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)
by: Li, Moxin, et al.
Published: (2023)
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
by: Zhou, Andy, et al.
Published: (2024)
by: Zhou, Andy, et al.
Published: (2024)
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
by: Yi, Jingwei, et al.
Published: (2023)
by: Yi, Jingwei, et al.
Published: (2023)
Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models
by: Zheng, Yujia, et al.
Published: (2025)
by: Zheng, Yujia, et al.
Published: (2025)
A Closer Look at System Prompt Robustness
by: Mu, Norman, et al.
Published: (2025)
by: Mu, Norman, et al.
Published: (2025)
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
DROJ: A Prompt-Driven Attack against Large Language Models
by: Hu, Leyang, et al.
Published: (2024)
by: Hu, Leyang, et al.
Published: (2024)
PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)
by: Wang, Yaxuan, et al.
Published: (2025)
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
by: Idrissi, Badr Youbi, et al.
Published: (2025)
by: Idrissi, Badr Youbi, et al.
Published: (2025)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models
by: Xu, Yue, et al.
Published: (2024)
by: Xu, Yue, et al.
Published: (2024)
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation
by: Cantini, Riccardo, et al.
Published: (2024)
by: Cantini, Riccardo, et al.
Published: (2024)
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
by: Wahed, Muntasir, et al.
Published: (2025)
by: Wahed, Muntasir, et al.
Published: (2025)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
Goal-guided Generative Prompt Injection Attack on Large Language Models
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
Robust Multimodal Large Language Models Against Modality Conflict
by: Zhang, Zongmeng, et al.
Published: (2025)
by: Zhang, Zongmeng, et al.
Published: (2025)
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)
by: Xu, Benfeng, et al.
Published: (2023)
On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)
by: Cao, Bowen, et al.
Published: (2024)
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)
by: Rahman, Md Abdur, et al.
Published: (2024)
Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)
by: Bo, Xiaohe, et al.
Published: (2025)
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
by: Wijesiriwardene, Thilini, et al.
Published: (2024)
by: Wijesiriwardene, Thilini, et al.
Published: (2024)
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
by: Zhao, Shuai, et al.
Published: (2023)
by: Zhao, Shuai, et al.
Published: (2023)
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
by: Santos, Gabriel Machado, et al.
Published: (2025)
by: Santos, Gabriel Machado, et al.
Published: (2025)
UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models
by: Lin, Huawei, et al.
Published: (2025)
by: Lin, Huawei, et al.
Published: (2025)
Large Language Models Prompting With Episodic Memory
by: Do, Dai, et al.
Published: (2024)
by: Do, Dai, et al.
Published: (2024)
Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)
by: Guan, Haoxiang, et al.
Published: (2024)
Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
by: Shao, Zedian, et al.
Published: (2024)
by: Shao, Zedian, et al.
Published: (2024)
ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)
by: Zhang, Qing, et al.
Published: (2025)
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
by: Li, Xuan, et al.
Published: (2025)
by: Li, Xuan, et al.
Published: (2025)
Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
by: Li, Junlong, et al.
Published: (2022)
by: Li, Junlong, et al.
Published: (2022)
Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)
by: Teng, Shiyu, et al.
Published: (2025)
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
by: Beck, Tilman, et al.
Published: (2023)
by: Beck, Tilman, et al.
Published: (2023)
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)
by: Dong, Honghua, et al.
Published: (2024)
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
by: Seleznyov, Mikhail, et al.
Published: (2025)
by: Seleznyov, Mikhail, et al.
Published: (2025)
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
by: Cook, David A.
Published: (2026)
by: Cook, David A.
Published: (2026)
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
by: Sun, Xiongtao, et al.
Published: (2024)
by: Sun, Xiongtao, et al.
Published: (2024)
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
by: Li, Bowen, et al.
Published: (2026)
by: Li, Bowen, et al.
Published: (2026)
Similar Items
-
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023) -
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
by: Zhou, Andy, et al.
Published: (2024) -
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
by: Yi, Jingwei, et al.
Published: (2023) -
Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models
by: Zheng, Yujia, et al.
Published: (2025) -
A Closer Look at System Prompt Robustness
by: Mu, Norman, et al.
Published: (2025)