Compass Security Blog

Offensive Defense

Manipulating LLMs – How to confuse ChatGPT

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 […]

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Evading Static Machine Learning Malware Detection Models – Part 1: The Black-Box Approach

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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