4 papers
CSA-Graphs: A Privacy-Preserving Structural Dataset for Child Sexual Abuse Research
Carlos Caetano, Camila Laranjeira, Clara Ernesto +5
Child Sexual Abuse Imagery (CSAI) classification is an important yet challenging problem for computer vision research due to the strict legal and ethical restrictions that prevent…
Transformed Multi-view 3D Shape Features with Contrastive Learning
Márcus Vinícius Lobo Costa, Sherlon Almeida da Silva, Bárbara Caroline Benato +2
This paper addresses the challenges in representation learning of 3D shape features by investigating state-of-the-art backbones paired with both contrastive supervised and self-sup…
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
Thamiris Coelho, Leo S. F. Ribeiro, João Macedo +2
The distribution of child sexual abuse imagery (CSAI) is an ever-growing concern of our modern world; children who suffered from this heinous crime are revictimized, and the growin…
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability
Carlos Caetano, Gabriel O. dos Santos, Caio Petrucci +6
Including children's images in datasets has raised ethical concerns, particularly regarding privacy, consent, data protection, and accountability. These datasets, often built by sc…