| Texto completo | |
| Autor(es): |
Coelho, Thamiris
;
Ferraz Ribeiro, Leo Sampaio
;
Macedo, Joao
;
dos Santos, Jefersson A.
;
Avila, Sandra
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE 2025 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, ACM FACCT 2025; v. N/A, p. 11-pg., 2025-01-01. |
| Resumo | |
The distribution of child sexual abuse imagery (CSAI) is an evergrowing concern of our modern world; children who suffered from this heinous crime are revictimized, and the growing amount of illegal imagery distributed overwhelms law enforcement agents (LEAs) with the manual labor of categorization. To ease this burden researchers have explored methods for automating data triage and detection of CSAI, but the sensitive nature of the data imposes restricted access and minimal interaction between real data and learning algorithms, avoiding leaks at all costs. In observing how these restrictions have shaped the literature we formalize a definition of "Proxy Tasks", i.e., the substitute tasks used for training models for CSAI without making use of CSA data. Under this new terminology we review current literature and present a protocol for making conscious use of Proxy Tasks together with consistent input from LEAs to design better automation in this field. Finally, we apply this protocol to study - for the first time - the task of Few-shot Indoor Scene Classification on CSAI, showing a final model that achieves promising results on a real-world CSAI dataset whilst having no weights actually trained on sensitive data. (AU) | |
| Processo FAPESP: | 23/12086-9 - Araceli: Inteligência Artificial no Combate ao Abuso Sexual Infantil |
| Beneficiário: | Sandra Eliza Fontes de Avila |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 20/09838-0 - BI0S - Brazilian Institute of Data Science |
| Beneficiário: | João Marcos Travassos Romano |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada |
| Processo FAPESP: | 22/14690-8 - Reconhecimento de Cenas Few-Shot, uma Nova Tarefa Proxy para Detecção de Material de Abuso Sexual Infantil |
| Beneficiário: | Leo Sampaio Ferraz Ribeiro |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 13/08293-7 - CECC - Centro de Engenharia e Ciências Computacionais |
| Beneficiário: | Munir Salomao Skaf |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |