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English Information

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Authors
# Name
1 João Victor Lopes(joaovlpss@usp.br)
2 Ana Rosa Nascimento(rosa.nascialmeida@usp.br)
3 Pratheeksha Nair(pratheeksha.nair@mail.mcgill.ca)
4 Catalina Vajiac(cvajiac@andrew.cmu.edu)
5 Andreas Olligschlaeger(olligschlaegerandreas@gmail.com)
6 Reihaneh Rabbany(rrabba@cs.mcgill.ca)
7 Christos Faloutsos(christos@cs.cmu.edu)
8 Mirela Cazzolato(mtcazzolato@gmail.com)

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Reference
# Reference
1 Beduschi, A. (2024). Synthetic data protection: Towards a paradigm change in data regulation? Big Data &; Society, 11(1). DOI: 10.1177/20539517241231277.
2 International Labour Organization, Walk Free, and International Organization for Migration (2022). Global estimates of modern slavery: Forced labour and forced marriage. Technical report, International Labour Organization, Geneva. Accessed: 21 May 2026.
3 Kulshrestha, A. (2021). Detection of organized activity in online escort advertisements. Master’s thesis, McGill University, Montreal, Canada. URL: https://escholarship.mcgill.ca/concern/theses/6395wd28p.
4 Lee, M.-C., Vajiac, C., Kulshrestha, A., Levy, S., Park, N., Jones, C., Rabbany, R., and Faloutsos, C. (2021). InfoShield: Generalizable information-theoretic human-trafficking detection. In IEEE ICDE. DOI: 10.1109/ICDE51399.2021.00101.
5 Liu, Z., Chen, C., Yang, X., Zhou, J., Li, X., and Song, L. (2018). Heterogeneous graph neural networks for malicious account detection. In ACM CIKM, page 2077–2085, New York, NY, USA. DOI: 10.1145/3269206.3272010.
6 Nagpal, C., Miller, K., Boecking, B., and Dubrawski, A. (2017). An entity resolution approach to isolate instances of human trafficking online. In Proceedings of the 3rd Workshop on Noisy User-generated Text, pages 77–84, Copenhagen, Denmark. Association for Computational Linguistics. DOI: 10.18653/v1/w17-4411.
7 Nair, P., Liu, J., Vajiac, C., Olligschlaeger, A., Chau, D. H., Cazzolato, M., Jones, C., Faloutsos, C., and Rabbany, R. (2024). T-net: weakly supervised graph learning for combatting human trafficking. AAAI. DOI: 10.1609/aaai.v38i20.30233.
8 Summers, L., Shallenberger, A. N., Cruz, J., and Fulton, L. V. (2023). A multi-input machine learning approach to classifying sex trafficking from online escort advertisements. Machine Learning and Knowledge Extraction, 5(2):460–472.
9 Vajiac, C., Chau, D. H., Olligschlaeger, A. M., Mackenzie, R., Nair, P., Lee, M., Li, Y., Park, N., Rabbany, R., and Faloutsos, C. (2023a). Trafficvis: Visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking. IEEE Trans. Vis. Comput. Graph., 29(1):53–62. DOI: 10.1109/TVCG.2022.3209403.
10 Vajiac, C., Lee, M.-C., Kulshrestha, A., Levy, S., Park, N., Olligschlaeger, A., Jones, C., Rabbany, R., and Faloutsos, C. (2023b). Deltashield: Information theory for human-trafficking detection. ACM Trans. Knowl. Discov. Data, 17(2). DOI: 10.1145/3563040.