CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking
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Abstract (arXiv)
Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated. Law enforcement officers face difficult challenges that require hi-tech solutions. This article presents a real-world system, powered by advanced Artificial Intelligence, for facilitating them in their everyday work.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 18 references that are in the map. First posted on arXiv 21 Jun 2024.
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References · 7
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2020Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusioncited by 47
- 2020DIET: Lightweight Language Understanding for Dialogue Systemscited by 35
- 2023Fine-grained Visual Classification with High-temperature Refinement and Background Suppressioncited by 22
- 2024Self-supervised visual learning in the low-data regime: a comparative evaluationcited by 11
- 2023Self-supervised visual learning for analyzing firearms trafficking activities on the Webcited by 3
- 2024Illicit object detection in X-ray images using Vision Transformerscited by 3
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