A Systematic Literature Review on LLM Defenses Against Prompt Injection and Jailbreaking: Expanding NIST Taxonomy
Fuente:
arXiv
Saved in:
| Main Authors: | Correia, Pedro H. Barcha, Achjian, Ryan W., de Oliveira, Diego E. G. Caetano, Maria, Ygor Acacio, Hayashi, Victor Takashi, Lopes, Marcos, Miers, Charles Christian, Simplicio Jr, Marcos A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026)
by: Jaiswal, Piyush, et al.
Published: (2026)
Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation
by: Armstrong, Stuart, et al.
Published: (2025)
by: Armstrong, Stuart, et al.
Published: (2025)
AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
by: Siska, Charlotte, et al.
Published: (2025)
by: Siska, Charlotte, 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)
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)
by: Chen, Yulin, et al.
Published: (2024)
Beyond the Benchmark: Innovative Defenses Against Prompt Injection Attacks
by: Shaheer, Safwan, et al.
Published: (2025)
by: Shaheer, Safwan, et al.
Published: (2025)
Defense Against Indirect Prompt Injection via Tool Result Parsing
by: Yu, Qiang, et al.
Published: (2026)
by: Yu, Qiang, et al.
Published: (2026)
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
by: Cao, Tri, et al.
Published: (2026)
by: Cao, Tri, et al.
Published: (2026)
A UEFI System with SPDM to Protect Against Unauthorized Device Connections
by: de Freitas, Ágatha, et al.
Published: (2026)
by: de Freitas, Ágatha, et al.
Published: (2026)
XXIII.—On the tribe Colletieæ, with some observations on the structure of the seed in the family of the Rhammaceæ
by: Miers, John
Published: (1860)
by: Miers, John
Published: (1860)
V.—Contributions to the botany of South America
by: Miers, John
Published: (1849)
by: Miers, John
Published: (1849)
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)
UV-protective compound-containing smart textiles: A brief overview
by: João Henrique Barcha Lupino
Published: (2023)
by: João Henrique Barcha Lupino
Published: (2023)
How Few-shot Demonstrations Affect Prompt-based Defenses Against LLM Jailbreak Attacks
by: Wang, Yanshu, et al.
Published: (2026)
by: Wang, Yanshu, et al.
Published: (2026)
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)
LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
by: Panebianco, Francesco, et al.
Published: (2025)
by: Panebianco, Francesco, et al.
Published: (2025)
Agent Privilege Separation in OpenClaw: A Structural Defense Against Prompt Injection
by: Cheng, Darren, et al.
Published: (2026)
by: Cheng, Darren, 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)
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)
The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?
by: Bhatt, Manish, et al.
Published: (2026)
by: Bhatt, Manish, et al.
Published: (2026)
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)
UI-Based Defense Against Prompt Injection: From Gentle Guidance to Mandatory Re-education
by: Viorazu.
Published: (2025)
by: Viorazu.
Published: (2025)
Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks
by: Pasquini, Dario, et al.
Published: (2024)
by: Pasquini, Dario, 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)
Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning
by: Yang, Xianglin, et al.
Published: (2025)
by: Yang, Xianglin, et al.
Published: (2025)
TrapSuffix: Proactive Defense Against Adversarial Suffixes in Jailbreaking
by: Du, Mengyao, et al.
Published: (2026)
by: Du, Mengyao, et al.
Published: (2026)
AlignTree: Efficient Defense Against LLM Jailbreak Attacks
by: Goren, Gil, et al.
Published: (2025)
by: Goren, Gil, et al.
Published: (2025)
Systematic review of dementia prevalence 1994 to 2000
by: Marcos Antonio Lopes
Published: (2007)
by: Marcos Antonio Lopes
Published: (2007)
Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)
by: Liu, Yupei, et al.
Published: (2023)
PromptArmor: Simple yet Effective Prompt Injection Defenses
by: Shi, Tianneng, et al.
Published: (2025)
by: Shi, Tianneng, 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)
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)
Data to Defense: The Role of Curation in Customizing LLMs Against Jailbreaking Attacks
by: Liu, Xiaoqun, et al.
Published: (2024)
by: Liu, Xiaoqun, et al.
Published: (2024)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)
by: Yi, Sibo, et al.
Published: (2024)
IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
by: An, Hengyu, et al.
Published: (2025)
by: An, Hengyu, et al.
Published: (2025)
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
by: Piet, Julien, et al.
Published: (2023)
by: Piet, Julien, et al.
Published: (2023)
Evaluation of Prompt Injection Defenses in Large Language Models
by: Deep, Priyal, et al.
Published: (2026)
by: Deep, Priyal, et al.
Published: (2026)
A Taxonomy of Pix Fraud in Brazil: Attack Methodologies, AI-Driven Amplification, and Defensive Strategies
by: Pizzolato, Glener Lanes, et al.
Published: (2025)
by: Pizzolato, Glener Lanes, et al.
Published: (2025)
Similar Items
-
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
by: Nasr, Milad, et al.
Published: (2025) -
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026) -
Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation
by: Armstrong, Stuart, et al.
Published: (2025) -
AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
by: Siska, Charlotte, et al.
Published: (2025) -
Defending Against Prompt Injection With a Few DefensiveTokens
by: Chen, Sizhe, et al.
Published: (2025)