Cover Image

The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chhetri, Bipin, Namin, Akbar Siami
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-Context and Few-Shots Learning for Forecasting Time Series Data based on Large Language Models
by: Gopali, Saroj, et al.
Published: (2025)

An In-Depth Analysis of Cyber Attacks in Secured Platforms
by: Ozoh, Parick, et al.
Published: (2025)

Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
by: Jean, Abile, et al.
Published: (2026)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)

Adversarial Attacks on Transformers-Based Malware Detectors
by: Jakhotiya, Yash, et al.
Published: (2022)

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
by: Gueriani, Afrah, et al.
Published: (2025)

PLeak: Prompt Leaking Attacks against Large Language Model Applications
by: Hui, Bo, et al.
Published: (2024)

Large Language Models Are Unreliable for Cyber Threat Intelligence
by: Mezzi, Emanuele, et al.
Published: (2025)

Towards Characterizing Cyber Networks with Large Language Models
by: Hartsock, Alaric, et al.
Published: (2024)

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
by: Gopali, Saroj, et al.
Published: (2024)

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)

LoBAM: LoRA-Based Backdoor Attack on Model Merging
by: Yin, Ming, et al.
Published: (2024)

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
by: Poudel, Bibek, et al.
Published: (2021)

Contextual Chart Generation for Cyber Deception
by: Nguyen, David D., et al.
Published: (2024)

An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
by: Zideh, Mehdi Jabbari, et al.
Published: (2024)

Less is more? Rewards in RL for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2025)

Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
by: Cheng, Yutong, et al.
Published: (2024)

Towards Production-Worthy Simulation for Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
by: Samaddar, Ankita, et al.
Published: (2024)

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications
by: Zhang, Lu, et al.
Published: (2025)

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
by: Guo, Qiming, et al.
Published: (2025)

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
by: Zhang, Guangsheng, et al.
Published: (2022)

Res-MIA: A Training-Free Resolution-Based Membership Inference Attack on Federated Learning Models
by: Zare, Mohammad, et al.
Published: (2026)

SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2024)

PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis
by: Bhusal, Dipkamal, et al.
Published: (2024)

Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
by: Ardito, Carmelo, et al.
Published: (2023)

Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024)

Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)

Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
by: Goel, Diksha, et al.
Published: (2024)

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models
by: Wahréus, Johan, et al.
Published: (2025)

A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)

Prompt Injection Attacks on Large Language Models in Oncology
by: Clusmann, Jan, et al.
Published: (2024)

Local Model Reconstruction Attacks in Federated Learning and their Uses
by: Driouich, Ilias, et al.
Published: (2022)

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
by: Wang, Zhun, et al.
Published: (2025)

Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector
by: Tory, Adrita Rahman, et al.
Published: (2025)

IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
by: Panigrahi, Damodar, et al.
Published: (2024)

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method
by: Sahu, Abhijeet, et al.
Published: (2024)

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities
by: Anurin, Andrey, et al.
Published: (2024)

Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
by: Truong, Vu Tuan, et al.
Published: (2024)