A review of advancements and applications of pre-trained language models in cybersecurity
Z Liu - 2024 12th International Symposium on Digital …, 2024 - ieeexplore.ieee.org
In this paper, we delve into the transformative role of pre-trained language models (PLMs) in
cybersecurity, offering a comprehensive examination of their deployment across a wide …
cybersecurity, offering a comprehensive examination of their deployment across a wide …
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
Online learning methods, like the seminal Passive-Aggressive (PA) classifier, are still highly
effective for high-dimensional streaming data, out-of-core processing, and other throughput …
effective for high-dimensional streaming data, out-of-core processing, and other throughput …
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Malware authors often employ code obfuscations to make their malware harder to detect.
Existing tools for generating obfuscated code often require access to the original source …
Existing tools for generating obfuscated code often require access to the original source …
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
Determining the family to which a malicious file belongs is an essential component of
cyberattack investigation, attribution, and remediation. Performing this task manually is time …
cyberattack investigation, attribution, and remediation. Performing this task manually is time …