Image de couverture de livre

Prompt Stealing Attacks Against Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sha, Zeyang, Zhang, Yang
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PRSA: Prompt Stealing Attacks against Real-World Prompt Services
par: Yang, Yong, et autres
Publié: (2024)

SOS! Soft Prompt Attack Against Open-Source Large Language Models
par: Yang, Ziqing, et autres
Publié: (2024)

Composite Backdoor Attacks Against Large Language Models
par: Huang, Hai, et autres
Publié: (2023)

Prompt Stealing Attacks Against Text-to-Image Generation Models
par: Shen, Xinyue, et autres
Publié: (2023)

Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs
par: Wang, Jiawen, et autres
Publié: (2025)

SPML: A DSL for Defending Language Models Against Prompt Attacks
par: Sharma, Reshabh K, et autres
Publié: (2024)

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models
par: Zhang, Yuanhe, et autres
Publié: (2025)

GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction
par: Gu, Jinze, et autres
Publié: (2026)

Goal-guided Generative Prompt Injection Attack on Large Language Models
par: Zhang, Chong, et autres
Publié: (2024)

Membership Inference Attacks Against In-Context Learning
par: Wen, Rui, et autres
Publié: (2024)

An Early Categorization of Prompt Injection Attacks on Large Language Models
par: Rossi, Sippo, et autres
Publié: (2024)

JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
par: Feng, Yingchaojie, et autres
Publié: (2024)

Enhance Robustness of Language Models Against Variation Attack through Graph Integration
par: Xiong, Zi, et autres
Publié: (2024)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
par: Chen, Yuetian, et autres
Publié: (2026)

Denial-of-Service Poisoning Attacks against Large Language Models
par: Gao, Kuofeng, et autres
Publié: (2024)

Securing Large Language Models (LLMs) from Prompt Injection Attacks
par: Suri, Omar Farooq Khan, et autres
Publié: (2025)

Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks
par: Zhao, Jiawei, et autres
Publié: (2024)

SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models
par: Afane, Mohamed, et autres
Publié: (2025)

Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
par: Chu, Junjie, et autres
Publié: (2024)

MPMA: Preference Manipulation Attack Against Model Context Protocol
par: Wang, Zihan, et autres
Publié: (2025)

Defending Against Indirect Prompt Injection Attacks With Spotlighting
par: Hines, Keegan, et autres
Publié: (2024)

Privacy in Large Language Models: Attacks, Defenses and Future Directions
par: Li, Haoran, et autres
Publié: (2023)

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
par: An, Li, et autres
Publié: (2025)

Stealing User Prompts from Mixture of Experts
par: Yona, Itay, et autres
Publié: (2024)

Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
par: Yu, Zhiyuan, et autres
Publié: (2024)

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
par: Wang, Zihan, et autres
Publié: (2025)

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
par: Liang, Zi, et autres
Publié: (2024)

Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models
par: Yu, Ye, et autres
Publié: (2026)

Data Defenses Against Large Language Models
par: Agnew, William, et autres
Publié: (2024)

Teach LLMs to Phish: Stealing Private Information from Language Models
par: Panda, Ashwinee, et autres
Publié: (2024)

You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors
par: Cao, Bochuan, et autres
Publié: (2025)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
par: Dong, Yiting, et autres
Publié: (2024)

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
par: Xin, Yuan, et autres
Publié: (2026)

Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks
par: Chen, Yiyi, et autres
Publié: (2024)

Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks
par: Li, Ziqiang, et autres
Publié: (2024)

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
par: Chowdhury, Arijit Ghosh, et autres
Publié: (2024)

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
par: Mangaokar, Neal, et autres
Publié: (2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
par: Zhu, Kaijie, et autres
Publié: (2023)

Jailbreak Attacks and Defenses Against Large Language Models: A Survey
par: Yi, Sibo, et autres
Publié: (2024)

BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
par: Wu, Zhengxian, et autres
Publié: (2025)