Retrieval-Augmented LLMs for Security Incident Analysis
Fuente:
arXiv
Guardado en:
| Autores principales: | Cadet, Xavier, Singh, Aditya Vikram, Mamania, Harsh, Koh, Edward, Fitts, Alex, Van Bruggen, Dirk, Boboila, Simona, Chin, Peter, Oprea, Alina |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Quantitative Resilience Modeling for Autonomous Cyber Defense
por: Cadet, Xavier, et al.
Publicado: (2025)
por: Cadet, Xavier, et al.
Publicado: (2025)
PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense
por: Cadet, Xavier, et al.
Publicado: (2025)
por: Cadet, Xavier, et al.
Publicado: (2025)
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
por: Singh, Aditya Vikram, et al.
Publicado: (2024)
por: Singh, Aditya Vikram, et al.
Publicado: (2024)
Backdoor Attacks in Peer-to-Peer Federated Learning
por: Syros, Georgios, et al.
Publicado: (2023)
por: Syros, Georgios, et al.
Publicado: (2023)
Model-agnostic clean-label backdoor mitigation in cybersecurity environments
por: Severi, Giorgio, et al.
Publicado: (2024)
por: Severi, Giorgio, et al.
Publicado: (2024)
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
por: Naseh, Ali, et al.
Publicado: (2025)
por: Naseh, Ali, et al.
Publicado: (2025)
Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security
por: Naseh, Ali, et al.
Publicado: (2025)
por: Naseh, Ali, et al.
Publicado: (2025)
Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
por: Chaudhari, Harsh, et al.
Publicado: (2024)
por: Chaudhari, Harsh, et al.
Publicado: (2024)
Reconstruction of Personally Identifiable Information from Supervised Finetuned Models
por: Furukawa, Sae, et al.
Publicado: (2026)
por: Furukawa, Sae, et al.
Publicado: (2026)
Cascading Adversarial Bias from Injection to Distillation in Language Models
por: Chaudhari, Harsh, et al.
Publicado: (2025)
por: Chaudhari, Harsh, et al.
Publicado: (2025)
UTrace: Poisoning Forensics for Private Collaborative Learning
por: Rose, Evan, et al.
Publicado: (2024)
por: Rose, Evan, et al.
Publicado: (2024)
Exploiting Leaderboards for Large-Scale Distribution of Malicious Models
por: Suri, Anshuman, et al.
Publicado: (2025)
por: Suri, Anshuman, et al.
Publicado: (2025)
AsymPuzl: An Asymmetric Puzzle for multi-agent cooperation
por: Cadet, Xavier, et al.
Publicado: (2025)
por: Cadet, Xavier, et al.
Publicado: (2025)
WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols
por: Maheri, Mohammad M, et al.
Publicado: (2025)
por: Maheri, Mohammad M, et al.
Publicado: (2025)
Adversarial Inception Backdoor Attacks against Reinforcement Learning
por: Rathbun, Ethan, et al.
Publicado: (2024)
por: Rathbun, Ethan, et al.
Publicado: (2024)
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
por: Rathbun, Ethan, et al.
Publicado: (2024)
por: Rathbun, Ethan, et al.
Publicado: (2024)
Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting
por: Oakley, Lisa, et al.
Publicado: (2024)
por: Oakley, Lisa, et al.
Publicado: (2024)
R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model
por: Naseh, Ali, et al.
Publicado: (2025)
por: Naseh, Ali, et al.
Publicado: (2025)
SAGA: A Security Architecture for Governing AI Agentic Systems
por: Syros, Georgios, et al.
Publicado: (2025)
por: Syros, Georgios, et al.
Publicado: (2025)
ACE: A Security Architecture for LLM-Integrated App Systems
por: Li, Evan, et al.
Publicado: (2025)
por: Li, Evan, et al.
Publicado: (2025)
Toward a Principled Framework for Agent Safety Measurement
por: Lin, Shuyi, et al.
Publicado: (2026)
por: Lin, Shuyi, et al.
Publicado: (2026)
Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
por: Thomas, Ostonya, et al.
Publicado: (2025)
por: Thomas, Ostonya, et al.
Publicado: (2025)
Identifying Models Behind Text-to-Image Leaderboards
por: Naseh, Ali, et al.
Publicado: (2026)
por: Naseh, Ali, et al.
Publicado: (2026)
Syntax- and Compilation-Preserving Evasion of LLM Vulnerability Detectors
por: Sun, Luze, et al.
Publicado: (2026)
por: Sun, Luze, et al.
Publicado: (2026)
Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
por: Lin, Bo, et al.
Publicado: (2025)
por: Lin, Bo, et al.
Publicado: (2025)
Before You Hand Over the Wheel: Evaluating LLMs for Security Incident Analysis
por: Jajodia, Sourov, et al.
Publicado: (2026)
por: Jajodia, Sourov, et al.
Publicado: (2026)
MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security
por: Avizheh, Sepideh, et al.
Publicado: (2026)
por: Avizheh, Sepideh, et al.
Publicado: (2026)
Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
por: Chaudhari, Harsh, et al.
Publicado: (2026)
por: Chaudhari, Harsh, et al.
Publicado: (2026)
Provably Secure Retrieval-Augmented Generation
por: Zhou, Pengcheng, et al.
Publicado: (2025)
por: Zhou, Pengcheng, et al.
Publicado: (2025)
TMI! Finetuned Models Leak Private Information from their Pretraining Data
por: Abascal, John, et al.
Publicado: (2023)
por: Abascal, John, et al.
Publicado: (2023)
Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
por: Li, Tian, et al.
Publicado: (2025)
por: Li, Tian, et al.
Publicado: (2025)
Nash Q-Network for Multi-Agent Cybersecurity Simulation
por: Xie, Qintong, et al.
Publicado: (2025)
por: Xie, Qintong, et al.
Publicado: (2025)
Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem
por: Lin, Shuyi, et al.
Publicado: (2025)
por: Lin, Shuyi, et al.
Publicado: (2025)
Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
por: Laws, Matthew D., et al.
Publicado: (2026)
por: Laws, Matthew D., et al.
Publicado: (2026)
Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
por: Rathbun, Ethan, et al.
Publicado: (2026)
por: Rathbun, Ethan, et al.
Publicado: (2026)
AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation
por: Liu, Zefang, et al.
Publicado: (2025)
por: Liu, Zefang, et al.
Publicado: (2025)
Employing LLMs for Incident Response Planning and Review
por: Hays, Sam, et al.
Publicado: (2024)
por: Hays, Sam, et al.
Publicado: (2024)
RESCUE: Retrieval Augmented Secure Code Generation
por: Shi, Jiahao, et al.
Publicado: (2025)
por: Shi, Jiahao, et al.
Publicado: (2025)
Secure Retrieval-Augmented Generation against Poisoning Attacks
por: Cheng, Zirui, et al.
Publicado: (2025)
por: Cheng, Zirui, et al.
Publicado: (2025)
Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
por: Liu, Yepeng, et al.
Publicado: (2025)
por: Liu, Yepeng, et al.
Publicado: (2025)
Ejemplares similares
-
Quantitative Resilience Modeling for Autonomous Cyber Defense
por: Cadet, Xavier, et al.
Publicado: (2025) -
PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense
por: Cadet, Xavier, et al.
Publicado: (2025) -
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
por: Singh, Aditya Vikram, et al.
Publicado: (2024) -
Backdoor Attacks in Peer-to-Peer Federated Learning
por: Syros, Georgios, et al.
Publicado: (2023) -
Model-agnostic clean-label backdoor mitigation in cybersecurity environments
por: Severi, Giorgio, et al.
Publicado: (2024)