:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Fattahi, Jaouhar
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2501.03250
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empowering Future Cybersecurity Leaders: Advancing Students through FINDS Education for Digital Forensic Excellence
by: Hariprasad, Yashas, et al.
Published: (2026)

Digital Forensics in the Age of Large Language Models
by: Yin, Zhipeng, et al.
Published: (2025)

Reasoning Under Threat: Symbolic and Neural Techniques for Cybersecurity Verification
by: Veronica, Sarah
Published: (2025)

Reinforcement Learning for Automated Cybersecurity Penetration Testing
by: López-Montero, Daniel, et al.
Published: (2025)

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
by: Sai, Siva, et al.
Published: (2025)

Digital and Web Forensics Model Cards, V1
by: Di Maio, Paola
Published: (2025)

A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
by: Dunsin, Dipo, et al.
Published: (2023)

Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection
by: Kausar, Firdous, et al.
Published: (2026)

A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligence
by: Homaei, MohammadHossein, et al.
Published: (2023)

ForensicsData: A Digital Forensics Dataset for Large Language Models
by: Chakir, Youssef, et al.
Published: (2025)

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
by: Huang, Jianan, et al.
Published: (2026)

Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response
by: Hilgert, Jan-Niclas, et al.
Published: (2025)

Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
by: Wickramasekara, Akila, et al.
Published: (2024)

When LLMs Meet Cybersecurity: A Systematic Literature Review
by: Zhang, Jie, et al.
Published: (2024)

Detecting Quishing Attacks with Machine Learning Techniques Through QR Code Analysis
by: Trad, Fouad, et al.
Published: (2025)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

Poster: SpiderSim: Multi-Agent Driven Theoretical Cybersecurity Simulation for Industrial Digitalization
by: Li, Jiaqi, et al.
Published: (2025)

Detection and Analysis of Sensitive and Illegal Content on the Ethereum Blockchain Using Machine Learning Techniques
by: Feng, Xingyu
Published: (2025)

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
by: Jaffal, Niveen O., et al.
Published: (2025)

Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements
by: Becher, Tobias, et al.
Published: (2024)

Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
by: Ndayipfukamiye, Tharcisse, et al.
Published: (2025)

The Human-Machine Identity Blur: A Unified Framework for Cybersecurity Risk Management in 2025
by: Janani, Kush
Published: (2025)

DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
by: Cherif, Bilel, et al.
Published: (2025)

Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
by: Malloy, Tailia, et al.
Published: (2023)

Integrative Approaches in Cybersecurity and AI
by: Omar, Marwan
Published: (2024)

Adapting Large Language Models to Emerging Cybersecurity using Retrieval Augmented Generation
by: Borah, Arnabh, et al.
Published: (2025)

LOCARD: An Agentic Framework for Blockchain Forensics
by: Yu, Xiaohang, et al.
Published: (2026)

Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations
by: Lochner, Martin, et al.
Published: (2025)

A Review of Cybersecurity Incidents in the Food and Agriculture Sector
by: Kulkarni, Ajay, et al.
Published: (2024)

Weaponizing Language Models for Cybersecurity Offensive Operations: Automating Vulnerability Assessment Report Validation; A Review Paper
by: Almuhaidib, Abdulrahman S, et al.
Published: (2025)

An Identity and Interaction Based Network Forensic Analysis
by: Clarke, Nathan, et al.
Published: (2025)

Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
by: Jia, Shan, et al.
Published: (2024)

A Survey on Offensive AI Within Cybersecurity
by: Girhepuje, Sahil, et al.
Published: (2024)

A Survey of Large Language Models in Cybersecurity
by: da Silva, Gabriel de Jesus Coelho, et al.
Published: (2024)

Dynamic Risk Assessments for Offensive Cybersecurity Agents
by: Wei, Boyi, et al.
Published: (2025)

Props for Machine-Learning Security
by: Juels, Ari, et al.
Published: (2024)

Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
by: Akif, Md Ahnaf
Published: (2025)

A Quantization-based Technique for Privacy Preserving Distributed Learning
by: Colombo, Maurizio, et al.
Published: (2024)

NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
by: Thaqi, Leand, et al.
Published: (2024)

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
by: Zeng, Wenxuan, et al.
Published: (2025)