May I have your Attention? Breaking Fine-Tuning based Prompt Injection Defenses using Architecture-Aware Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Pandya, Nishit V., Labunets, Andrey, Gao, Sicun, Fernandes, Earlence |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Systems Security Foundations for Agentic Computing
by: Christodorescu, Mihai, et al.
Published: (2025)
by: Christodorescu, Mihai, et al.
Published: (2025)
Agent Security is a Systems Problem
by: Christodorescu, Mihai, et al.
Published: (2026)
by: Christodorescu, Mihai, et al.
Published: (2026)
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025)
by: Zhan, Qiusi, et al.
Published: (2025)
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)
by: Chen, Yulin, et al.
Published: (2024)
Checkpoint-GCG: Auditing and Attacking Fine-Tuning-Based Prompt Injection Defenses
by: Yang, Xiaoxue, et al.
Published: (2025)
by: Yang, Xiaoxue, et al.
Published: (2025)
Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
by: Chen, Yulin, et al.
Published: (2025)
by: Chen, Yulin, et al.
Published: (2025)
Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection
by: Chang, Xiangyu, et al.
Published: (2025)
by: Chang, Xiangyu, et al.
Published: (2025)
Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs
by: Yeo, Andrew, et al.
Published: (2025)
by: Yeo, Andrew, et al.
Published: (2025)
A Critical Evaluation of Defenses against Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)
by: Jia, Yuqi, et al.
Published: (2025)
AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
by: Wang, Yihan, et al.
Published: (2025)
by: Wang, Yihan, et al.
Published: (2025)
AlignSentinel: Alignment-Aware Detection of Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2026)
by: Jia, Yuqi, et al.
Published: (2026)
System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective
by: Wu, Fangzhou, et al.
Published: (2024)
by: Wu, Fangzhou, et al.
Published: (2024)
Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems
by: Alam, Md Takrim Ul, et al.
Published: (2026)
by: Alam, Md Takrim Ul, et al.
Published: (2026)
Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary Models
by: Sandoval, Gustavo, et al.
Published: (2025)
by: Sandoval, Gustavo, et al.
Published: (2025)
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025)
by: Zhu, Kaijie, et al.
Published: (2025)
A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
by: Hossain, S M Asif, et al.
Published: (2025)
by: Hossain, S M Asif, et al.
Published: (2025)
Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)
by: Liu, Yupei, et al.
Published: (2023)
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)
PromptShield: Deployable Detection for Prompt Injection Attacks
by: Jacob, Dennis, et al.
Published: (2025)
by: Jacob, Dennis, et al.
Published: (2025)
Defending Against Prompt Injection With a Few DefensiveTokens
by: Chen, Sizhe, et al.
Published: (2025)
by: Chen, Sizhe, 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)
ESLD (External Surrogate Latent Defense): A Latent-Space Architecture for Faster, Stronger Prompt-Injection Defense
by: Narendra, Yash
Published: (2026)
by: Narendra, Yash
Published: (2026)
The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?
by: Bhatt, Manish, et al.
Published: (2026)
by: Bhatt, Manish, et al.
Published: (2026)
The Vulnerability of LLM Rankers to Prompt Injection Attacks
by: Yin, Yu, et al.
Published: (2026)
by: Yin, Yu, et al.
Published: (2026)
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
by: Kuo, Kevin, et al.
Published: (2026)
by: Kuo, Kevin, et al.
Published: (2026)
SUAD: Solid-Channel Ultrasound Injection Attack and Defense to Voice Assistants
by: Liu, Chao, et al.
Published: (2025)
by: Liu, Chao, et al.
Published: (2025)
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
by: Debenedetti, Edoardo, et al.
Published: (2024)
by: Debenedetti, Edoardo, et al.
Published: (2024)
PromptArmor: Simple yet Effective Prompt Injection Defenses
by: Shi, Tianneng, et al.
Published: (2025)
by: Shi, Tianneng, et al.
Published: (2025)
TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
by: Chen, Yulin, et al.
Published: (2025)
by: Chen, Yulin, et al.
Published: (2025)
Attention Tracker: Detecting Prompt Injection Attacks in LLMs
by: Hung, Kuo-Han, et al.
Published: (2024)
by: Hung, Kuo-Han, et al.
Published: (2024)
CASCADE: A Cascaded Hybrid Defense Architecture for Prompt Injection Detection in MCP-Based Systems
by: Turgut, İpek Abasıkeleş, et al.
Published: (2026)
by: Turgut, İpek Abasıkeleş, et al.
Published: (2026)
Prompt Injection Attack to Tool Selection in LLM Agents
by: Shi, Jiawen, et al.
Published: (2025)
by: Shi, Jiawen, et al.
Published: (2025)
PINA: Prompt Injection Attack against Navigation Agents
by: Liu, Jiani, et al.
Published: (2026)
by: Liu, Jiani, et al.
Published: (2026)
Can Indirect Prompt Injection Attacks Be Detected and Removed?
by: Chen, Yulin, et al.
Published: (2025)
by: Chen, Yulin, et al.
Published: (2025)
Privacy in ERP Systems: Behavioral Models of Developers and Consultants
by: Pang, Alicia, et al.
Published: (2026)
by: Pang, Alicia, et al.
Published: (2026)
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
by: Xiong, Chen, et al.
Published: (2024)
by: Xiong, Chen, et al.
Published: (2024)
PromptLocate: Localizing Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)
by: Jia, Yuqi, et al.
Published: (2025)
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
by: Nasr, Milad, et al.
Published: (2025)
by: Nasr, Milad, et al.
Published: (2025)
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026)
by: Xiang, Chong, et al.
Published: (2026)
Similar Items
-
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) -
Systems Security Foundations for Agentic Computing
by: Christodorescu, Mihai, et al.
Published: (2025) -
Agent Security is a Systems Problem
by: Christodorescu, Mihai, et al.
Published: (2026) -
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025) -
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)