17 citations · 29 across the 8 of their papers we have counts for
5 papers · 1 filter
Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers
Vageesh Kumar Saxena
This research investigated how online criminal activities can be better understood and connected using data-driven machine learning methods. Many illegal activities, such as human…
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray
Vageesh Saxena, Sharid Loáiciga, Nils Rethmeier
Neural networks have demonstrated significant advancements in Neural Machine Translation (NMT) compared to conventional phrase-based approaches. However, Multilingual Neural Machin…
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) remains a critical issue, with traffickers increasingly leveraging online escort advertisements (ads) to advertise victims anonymously. Existing detection me…
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
Antoine Louis, Vageesh Saxena, Gijs van Dijck +1
State-of-the-art neural retrievers predominantly focus on high-resource languages like English, which impedes their adoption in retrieval scenarios involving other languages. Curre…
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) is a pervasive global issue affecting vulnerable individuals, violating their fundamental human rights. Investigations reveal that a significant number of HT…