Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs
Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks, but their potential in cybersecurity remains largely unexplored. Despite their inherent …
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning
Due to the proliferation of malware, defenders are increasingly turning to automation and machine learning as part of the malware detection tool-chain. However, machine learning …
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
Large Language Models (LLMs) have gained widespread popularity across diverse domains involving text generation, summarization, and various natural language processing tasks. …
Machete: Dissecting the Operations of a Cyber Espionage Group in Latin America
Reports on cyber espionage operations have been on the rise in the last decade. However, operations in Latin America are heavily under researched and potentially underestimated. In …
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Bringing a GAN to a Knife-fight: Adapting Malware Communication to Avoid Detection
Generative Adversarial Networks (GANs) have been successfully used in a large number of domains. This paper proposes the use of GANs for generating network traffic in order to …