Image de couverture de livre

Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pandey, Rohan, Bhujang, Archit
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
par: Zhan, Qiusi, et autres
Publié: (2025)

A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
par: Hossain, S M Asif, et autres
Publié: (2025)

SecureLearn -- An Attack-agnostic Defense for Multiclass Machine Learning Against Data Poisoning Attacks
par: Paracha, Anum, et autres
Publié: (2025)

Secure Retrieval-Augmented Generation against Poisoning Attacks
par: Cheng, Zirui, et autres
Publié: (2025)

Design Patterns for Securing LLM Agents against Prompt Injections
par: Beurer-Kellner, Luca, et autres
Publié: (2025)

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

Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs
par: Zizzo, Giulio, et autres
Publié: (2025)

Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
par: Liu, Yinuo, et autres
Publié: (2025)

PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features
par: Zou, Wei, et autres
Publié: (2025)

Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
par: Shao, Zedian, et autres
Publié: (2024)

Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"
par: Schneider, Thomas, et autres
Publié: (2024)

Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models
par: Clop, Cody, et autres
Publié: (2024)

The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
par: Nasr, Milad, et autres
Publié: (2025)

GenTel-Safe: A Unified Benchmark and Shielding Framework for Defending Against Prompt Injection Attacks
par: Li, Rongchang, et autres
Publié: (2024)

LogJack: Indirect Prompt Injection Through Cloud Logs Against LLM Debugging Agents
par: Shah, Harsh
Publié: (2026)

A Systematic Review of Poisoning Attacks Against Large Language Models
par: Fendley, Neil, et autres
Publié: (2025)

Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
par: Yadav, Umesh, et autres
Publié: (2025)

PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models
par: Panaitescu-Liess, Michael-Andrei, et autres
Publié: (2025)

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

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
par: Debenedetti, Edoardo, et autres
Publié: (2024)

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
par: Rathbun, Ethan, et autres
Publié: (2024)

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
par: Gosch, Lukas, et autres
Publié: (2024)

Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
par: Wang, Yujing, et autres
Publié: (2024)

Online Poisoning Attack Against Reinforcement Learning under Black-box Environments
par: Li, Jianhui, et autres
Publié: (2024)

SecAlign: Defending Against Prompt Injection with Preference Optimization
par: Chen, Sizhe, et autres
Publié: (2024)

Lessons from Defending Gemini Against Indirect Prompt Injections
par: Shi, Chongyang, et autres
Publié: (2025)

Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes
par: Hamidi, Shayan Mohajer, et autres
Publié: (2024)

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
par: Panebianco, Francesco, et autres
Publié: (2025)

Traceback of Poisoning Attacks to Retrieval-Augmented Generation
par: Zhang, Baolei, et autres
Publié: (2025)

Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks
par: Halloran, John T., et autres
Publié: (2026)

Secure Aggregation is Not Private Against Membership Inference Attacks
par: Ngo, Khac-Hoang, et autres
Publié: (2024)

Poison Attacks and Adversarial Prompts Against an Informed University Virtual Assistant
par: Fernandez, Ivan A., et autres
Publié: (2024)

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
par: Zou, Wei, et autres
Publié: (2024)

Transferable Availability Poisoning Attacks
par: Liu, Yiyong, et autres
Publié: (2023)

Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning
par: Xu, Yinglun, et autres
Publié: (2024)

How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
par: Wang, Jinbo, et autres
Publié: (2024)

Krait: A Backdoor Attack Against Graph Prompt Tuning
par: Song, Ying, et autres
Publié: (2024)

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

Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
par: Pasquini, Dario, et autres
Publié: (2024)

Practical Poisoning Attacks against Retrieval-Augmented Generation
par: Zhang, Baolei, et autres
Publié: (2025)