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A review of generative models in generating synthetic attack data for cybersecurity
The ability of deep learning to process vast data and uncover concealed malicious patterns
has spurred the adoption of deep learning methods within the cybersecurity domain …
has spurred the adoption of deep learning methods within the cybersecurity domain …
A comprehensive overview of large language models (llms) for cyber defences: Opportunities and directions
M Hassanin, N Moustafa - ar** large language models for attacks against black-box neural ranking models
Neural ranking models (NRMs) have been shown to be highly effective in terms of retrieval
performance. Unfortunately, they have also displayed a higher degree of sensitivity to …
performance. Unfortunately, they have also displayed a higher degree of sensitivity to …
Enhancing DevSecOps practice with Large Language Models and Security Chaos Engineering
M Bedoya, S Palacios, D Díaz-López… - International Journal of …, 2024 - Springer
Recently, the DevSecOps practice has improved companies' agile production of secure
software, reducing problems and improving return on investment. However, overreliance on …
software, reducing problems and improving return on investment. However, overreliance on …
Semantic analysis of phishing emails leading to ransomware with chatgpt
H Fujima, K Takeuchi, T Kumamoto - 2023 - researchsquare.com
Ransomware attacks have rapidly emerged as crippling threats to organizational stability
and business continuity. This study conducts an in-depth analysis of real-world phishing …
and business continuity. This study conducts an in-depth analysis of real-world phishing …
ChatPhishDetector: Detecting Phishing Sites Using Large Language Models
Large Language Models (LLMs), such as ChatGPT, are significantly impacting various
fields. While LLMs have been extensively studied for code generation and text synthesis …
fields. While LLMs have been extensively studied for code generation and text synthesis …