2026-05-07 –, Main Stage
Communication on the dark web incorporates specialized coded language, referred to as "dark jargon", which serves to obscure illicit activities and hinder automated interpretation. These illicit activities often have severe real-world consequences, including drug and human trafficking, data leaks
and financial theft through fraud, and the facilitation of child abuse, which emphasizes the need for dark jargon detection and decoding methods. In this lightning talk we aim to explain the basic concepts of dark jargon, its NLP-based detection and interpretation methods as well as the difficulties that impede these.
Coming from a bachelors of linguistics and being always enthusiastic about IT and CTI topics, I combined these passions for my masters in computational linguistics. After that I started working in academic research mostly in low-resource language NLP, going more into Cybersecurity with my recently started PhD at SnT Luxembourg, which will be focused on dark web and CTI research with NLP.