Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Zi, Hu, Haibo, Ye, Qingqing, Xiao, Yaxin, Li, Haoyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
by: Liang, Zi, et al.
Published: (2024)
by: Liang, Zi, et al.
Published: (2024)
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework
by: Liang, Zi, et al.
Published: (2025)
by: Liang, Zi, et al.
Published: (2025)
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
by: Liang, Zi, et al.
Published: (2025)
by: Liang, Zi, et al.
Published: (2025)
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
by: Xiao, Yaxin, et al.
Published: (2025)
by: Xiao, Yaxin, et al.
Published: (2025)
FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, et al.
Published: (2026)
Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection
by: Liang, Zi, et al.
Published: (2026)
by: Liang, Zi, et al.
Published: (2026)
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
by: Yu, Zhiyuan, et al.
Published: (2024)
by: Yu, Zhiyuan, et al.
Published: (2024)
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)
by: Sha, Zeyang, et al.
Published: (2024)
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
by: Liang, Zi, et al.
Published: (2025)
by: Liang, Zi, et al.
Published: (2025)
The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis
by: Wang, Peiran, et al.
Published: (2026)
by: Wang, Peiran, et al.
Published: (2026)
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
by: Zhan, Qiusi, et al.
Published: (2024)
by: Zhan, Qiusi, et al.
Published: (2024)
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)
Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications
by: Wang, Junlin, et al.
Published: (2024)
by: Wang, Junlin, et al.
Published: (2024)
LeakDojo: Decoding the Leakage Threats of RAG Systems
by: Zhang, Maosen, et al.
Published: (2026)
by: Zhang, Maosen, et al.
Published: (2026)
Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
by: Marinelli, Ryan, et al.
Published: (2025)
by: Marinelli, Ryan, et al.
Published: (2025)
Auditing Prompt Caching in Language Model APIs
by: Gu, Chenchen, et al.
Published: (2025)
by: Gu, Chenchen, et al.
Published: (2025)
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)
CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
by: Chen, Xiangsen, et al.
Published: (2026)
by: Chen, Xiangsen, et al.
Published: (2026)
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)
by: Rossi, Sippo, et al.
Published: (2024)
PRSA: Prompt Stealing Attacks against Real-World Prompt Services
by: Yang, Yong, et al.
Published: (2024)
by: Yang, Yong, 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)
Securing Large Language Models (LLMs) from Prompt Injection Attacks
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
Resource Consumption Threats in Large Language Models
by: Zhang, Yuanhe, et al.
Published: (2026)
by: Zhang, Yuanhe, et al.
Published: (2026)
Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution
by: Alizadeh, Meysam, et al.
Published: (2025)
by: Alizadeh, Meysam, et al.
Published: (2025)
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)
by: Wang, Zhepeng, et al.
Published: (2024)
InfoFlood: Jailbreaking Large Language Models with Information Overload
by: Yadav, Advait, et al.
Published: (2025)
by: Yadav, Advait, et al.
Published: (2025)
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
by: Wu, Shanshan, et al.
Published: (2024)
by: Wu, Shanshan, et al.
Published: (2024)
SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024)
by: Yang, Ziqing, et al.
Published: (2024)
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
by: Meier, Dominik, et al.
Published: (2025)
by: Meier, Dominik, et al.
Published: (2025)
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
by: Li, Linbao, et al.
Published: (2025)
by: Li, Linbao, et al.
Published: (2025)
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
by: Zhang, Jinchuan, et al.
Published: (2024)
by: Zhang, Jinchuan, et al.
Published: (2024)
From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, et al.
Published: (2026)
Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs
by: Wang, Jiawen, et al.
Published: (2025)
by: Wang, Jiawen, et al.
Published: (2025)
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
by: Gong, Yichen, et al.
Published: (2023)
by: Gong, Yichen, et al.
Published: (2023)
Efficient Detection of Toxic Prompts in Large Language Models
by: Liu, Yi, et al.
Published: (2024)
by: Liu, Yi, et al.
Published: (2024)
Similar Items
-
"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
by: Liang, Zi, et al.
Published: (2024) -
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework
by: Liang, Zi, et al.
Published: (2025) -
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
by: Liang, Zi, et al.
Published: (2025) -
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
by: Xiao, Yaxin, et al.
Published: (2025) -
FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)