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Found 10 papers, 4 papers with code
Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation
Understanding cybercrime communications is paramount for cybersecurity defence.
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning
However, machine learning models are susceptible to adversarial attacks, requiring the testing of model and product robustness.
Conti Inc.: Understanding the Internal Discussions of a large Ransomware-as-a-Service Operator with Machine Learning
Moreover, the distribution of topics among Conti members shows that only 4% of individuals have specialized discussions while almost all individuals (96%) are all-rounders, meaning that their discussions revolve around the five topics.
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
The environment is designed to eventually support complex multi-agent scenarios within the network security domain.
Ranked #1 on
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Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms
The ongoing rise in cyberattacks and the lack of skilled professionals in the cybersecurity domain to combat these attacks show the need for automated tools capable of detecting an attack with good performance.
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions
We achieved good surrogates of the stand-alone classifiers with up to 99\% agreement with the target models, using less than 4% of the original training dataset.
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users
The model was evaluated by the similarity of the generated AD with the original, by the positions of the new nodes, by the similarity with GraphRNN and finally by making real intruders attack the generated AD structure to see if they select the honeyusers.
A Survey of Privacy Attacks in Machine Learning
Our contribution in this research is an analysis of more than 40 papers related to privacy attacks against machine learning that have been published during the past seven years.
DNS Tunneling: A Deep Learning based Lexicographical Detection Approach
Domain Name Service is a trusted protocol made for name resolution, but during past years some approaches have been developed to use it for data transfer.
