Given the explosion of development and interest in deep learning models in the past year, we decided to research on the topic to increase our know-how and find applications where these technologies can be leveraged in offensive security engagements.
This posts explores the use of machine learning for voice cloning and how it can be used for social engineering.
What are LLMs LLMs (Large Language Models) are language models with a large number of parameters. These parameters are the model’s variables, which it learns during training. Typically, this training is unsupervised learning on a large data set, during which the algorithm tries to find patterns in the provided data. The more it learns, the […]
Modern anti-malware products such as Windows Defender increasingly rely on the use of machine learning algorithms to detect and classify harmful malware. In this two-part series, we are going to investigate the robustness of a static machine learning malware detection model trained with the EMBER dataset. For this purpose we will working with the Jigsaw ransomware.
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