Papers by Vageesh Saxena

2 papers
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements (2023.emnlp-main)

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Challenge: a significant number of human trafficking cases are associated with online advertisements . identification of HT vendors is challenging for law enforcement agencies .
Approach: IDTraffickers uses 87,595 text ads and 5,244 vendor labels to link HT vendors . a macro-F1 score is achieved in a closed-set classification environment .
Outcome: IDTraffickers is a dataset that enables verification and identification of HT vendors . the model achieves a macro-F1 score in a closed-set classification environment .
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets (2023.acl-long)

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Challenge: Anonymity on the Darknet allows vendors to stay undetected by using multiple vendor aliases or frequently migrating between markets.
Approach: They propose an NLP-based approach that examines writing patterns to verify, identify, and link unique vendor accounts across text advertisements on seven public Darknet markets.
Outcome: The proposed approach can help law enforcement agencies make more informed decisions by verifying and identifying migrating vendors and their potential aliases on existing and Low-Resource (LR) emerging Darknet markets.

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