Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
Fuente:
arXiv
Saved in:
| Main Author: | Pathade, Chetan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding
by: Pathade, Chetan
Published: (2025)
by: Pathade, Chetan
Published: (2025)
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
by: Pathade, Chetan, et al.
Published: (2025)
by: Pathade, Chetan, et al.
Published: (2025)
Prompt Optimization and Evaluation for LLM Automated Red Teaming
by: Freenor, Michael, et al.
Published: (2025)
by: Freenor, Michael, et al.
Published: (2025)
ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming
by: Béjar, Mario Rodríguez, et al.
Published: (2026)
by: Béjar, Mario Rodríguez, et al.
Published: (2026)
Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns
by: Pathade, Chetan, et al.
Published: (2025)
by: Pathade, Chetan, et al.
Published: (2025)
MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks
by: You, Wenhao, et al.
Published: (2025)
by: You, Wenhao, 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)
Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
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)
Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts
by: Zhang, Chiyu, et al.
Published: (2025)
by: Zhang, Chiyu, 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)
Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak
by: Gu, Haoran, et al.
Published: (2026)
by: Gu, Haoran, et al.
Published: (2026)
Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM Architectures
by: Benjamin, Victoria, et al.
Published: (2024)
by: Benjamin, Victoria, et al.
Published: (2024)
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)
bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs
by: Ji, Wence, et al.
Published: (2025)
by: Ji, Wence, et al.
Published: (2025)
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)
Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
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)
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)
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
by: Liu, Yanjiang, et al.
Published: (2025)
by: Liu, Yanjiang, et al.
Published: (2025)
A Systematic Literature Review on LLM Defenses Against Prompt Injection and Jailbreaking: Expanding NIST Taxonomy
by: Correia, Pedro H. Barcha, et al.
Published: (2026)
by: Correia, Pedro H. Barcha, et al.
Published: (2026)
PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
by: Shen, Guobin, et al.
Published: (2025)
by: Shen, Guobin, et al.
Published: (2025)
AJAR: Adaptive Jailbreak Architecture for Red-teaming
by: Dou, Yipu, et al.
Published: (2026)
by: Dou, Yipu, et al.
Published: (2026)
Automated Progressive Red Teaming
by: Jiang, Bojian, et al.
Published: (2024)
by: Jiang, Bojian, et al.
Published: (2024)
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)
Mitigating Jailbreaks with Intent-Aware LLMs
by: Yeo, Wei Jie, et al.
Published: (2025)
by: Yeo, Wei Jie, et al.
Published: (2025)
Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models
by: Wei, Zhang, et al.
Published: (2025)
by: Wei, Zhang, et al.
Published: (2025)
Prompt Injection Detection is Regime-Dependent: A Deployment-Aware Evaluation with Interpretable Structural Signals
by: Akinrele, Akindoyin, et al.
Published: (2026)
by: Akinrele, Akindoyin, et al.
Published: (2026)
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)
RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning
by: Horal, Artur, et al.
Published: (2025)
by: Horal, Artur, et al.
Published: (2025)
A Simple and Efficient Jailbreak Method Exploiting LLMs' Helpfulness
by: Luo, Xuan, et al.
Published: (2025)
by: Luo, Xuan, et al.
Published: (2025)
How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference
by: Liu, Songyang, et al.
Published: (2026)
by: Liu, Songyang, et al.
Published: (2026)
Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective
by: Tshimula, Jean Marie, et al.
Published: (2024)
by: Tshimula, Jean Marie, et al.
Published: (2024)
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
by: Chen, Shuo, et al.
Published: (2024)
by: Chen, Shuo, et al.
Published: (2024)
Resource Consumption Red-Teaming for Large Vision-Language Models
by: Gao, Haoran, et al.
Published: (2025)
by: Gao, Haoran, et al.
Published: (2025)
Training a General Purpose Automated Red Teaming Model
by: Padmakumar, Aishwarya, et al.
Published: (2026)
by: Padmakumar, Aishwarya, et al.
Published: (2026)
Serverless AI Security: Attack Surface Analysis and Runtime Protection Mechanisms for FaaS-Based Machine Learning
by: Pathade, Chetan, et al.
Published: (2026)
by: Pathade, Chetan, et al.
Published: (2026)
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
by: Sharma, Mrinank, et al.
Published: (2025)
by: Sharma, Mrinank, et al.
Published: (2025)
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)
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)
Similar Items
-
Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding
by: Pathade, Chetan
Published: (2025) -
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
by: Pathade, Chetan, et al.
Published: (2025) -
Prompt Optimization and Evaluation for LLM Automated Red Teaming
by: Freenor, Michael, et al.
Published: (2025) -
ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming
by: Béjar, Mario Rodríguez, et al.
Published: (2026) -
Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns
by: Pathade, Chetan, et al.
Published: (2025)