Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jiawen, Gupta, Pritha, Habernal, Ivan, Hüllermeier, Eyke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Defending Against Indirect Prompt Injection Attacks With Spotlighting
by: Hines, Keegan, et al.
Published: (2024)
by: Hines, Keegan, et al.
Published: (2024)
How reparametrization trick broke differentially-private text representation learning
by: Habernal, Ivan
Published: (2022)
by: Habernal, Ivan
Published: (2022)
SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024)
by: Yang, Ziqing, et al.
Published: (2024)
Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs
by: Sekar, Anirudh, et al.
Published: (2026)
by: Sekar, Anirudh, et al.
Published: (2026)
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)
Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)
by: Sha, Zeyang, et al.
Published: (2024)
DP-BART for Privatized Text Rewriting under Local Differential Privacy
by: Igamberdiev, Timour, et al.
Published: (2023)
by: Igamberdiev, Timour, et al.
Published: (2023)
"Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers
by: Zhou, Qin, et al.
Published: (2025)
by: Zhou, Qin, et al.
Published: (2025)
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs
by: Chen, Yunhao, et al.
Published: (2025)
by: Chen, Yunhao, et al.
Published: (2025)
SPML: A DSL for Defending Language Models Against Prompt Attacks
by: Sharma, Reshabh K, et al.
Published: (2024)
by: Sharma, Reshabh K, et al.
Published: (2024)
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
by: Labunets, Andrey, et al.
Published: (2025)
by: Labunets, Andrey, et al.
Published: (2025)
FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks
by: Wang, Jiongxiao, et al.
Published: (2024)
by: Wang, Jiongxiao, et al.
Published: (2024)
Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections
by: Maloyan, Narek, et al.
Published: (2025)
by: Maloyan, Narek, et al.
Published: (2025)
Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
by: Shao, Zedian, et al.
Published: (2024)
by: Shao, Zedian, et al.
Published: (2024)
What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks
by: Kirch, Nathalie, et al.
Published: (2024)
by: Kirch, Nathalie, et al.
Published: (2024)
SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
by: Xin, Yuan, et al.
Published: (2026)
by: Xin, Yuan, et al.
Published: (2026)
WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents
by: Wang, Xilong, et al.
Published: (2026)
by: Wang, Xilong, et al.
Published: (2026)
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?
by: Weiss, Christopher, et al.
Published: (2023)
by: Weiss, Christopher, et al.
Published: (2023)
PRSA: Prompt Stealing Attacks against Real-World Prompt Services
by: Yang, Yong, et al.
Published: (2024)
by: Yang, Yong, et al.
Published: (2024)
Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)
by: Rahman, Md Abdur, et al.
Published: (2024)
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)
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
by: Xie, Yueqi, et al.
Published: (2024)
by: Xie, Yueqi, et al.
Published: (2024)
Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
by: Pathade, Chetan
Published: (2025)
by: Pathade, Chetan
Published: (2025)
Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption
by: Wang, Yanting, et al.
Published: (2025)
by: Wang, Yanting, et al.
Published: (2025)
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026)
by: Jaiswal, Piyush, et al.
Published: (2026)
Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)
by: Liu, Yupei, et al.
Published: (2023)
Goal-guided Generative Prompt Injection Attack on Large Language Models
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization
by: Geng, Runpeng, et al.
Published: (2025)
by: Geng, Runpeng, et al.
Published: (2025)
Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning
by: Ostermann, Simon, et al.
Published: (2024)
by: Ostermann, Simon, et al.
Published: (2024)
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)
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
by: Weiss, Roy, et al.
Published: (2024)
by: Weiss, Roy, et al.
Published: (2024)
ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
Prompt Injection as Role Confusion
by: Ye, Charles, et al.
Published: (2026)
by: Ye, Charles, et al.
Published: (2026)
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)
by: Chen, Yulin, et al.
Published: (2024)
Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection
by: Munirathinam, Thamilvendhan
Published: (2026)
by: Munirathinam, Thamilvendhan
Published: (2026)
AI Agents May Always Fall for Prompt Injections
by: Abdelnabi, Sahar, et al.
Published: (2026)
by: Abdelnabi, Sahar, et al.
Published: (2026)
Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
by: Zhong, Yinan, et al.
Published: (2025)
by: Zhong, Yinan, et al.
Published: (2025)
Prompt Injection Attack to Tool Selection in LLM Agents
by: Shi, Jiawen, et al.
Published: (2025)
by: Shi, Jiawen, et al.
Published: (2025)
Similar Items
-
Defending Against Indirect Prompt Injection Attacks With Spotlighting
by: Hines, Keegan, et al.
Published: (2024) -
How reparametrization trick broke differentially-private text representation learning
by: Habernal, Ivan
Published: (2022) -
SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024) -
Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025) -
Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs
by: Sekar, Anirudh, et al.
Published: (2026)