5 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…
Human-Centric Perception for Child Sexual Abuse Imagery
Camila Laranjeira, João Macedo, Sandra Avila +2
Law enforcement agencies and non-gonvernmental organizations handling reports of Child Sexual Abuse Imagery (CSAI) are overwhelmed by large volumes of data, requiring the aid of au…
Attention over Scene Graphs: Indoor Scene Representations Toward CSAI Classification
Artur Barros, Carlos Caetano, João Macedo +2
Indoor scene classification is a critical task in computer vision, with wide-ranging applications that go from robotics to sensitive content analysis, such as child sexual abuse im…
Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery
Pedro H. V. Valois, João Macedo, Leo S. F. Ribeiro +2
Crime in the 21st century is split into a virtual and real world. However, the former has become a global menace to people's well-being and security in the latter. The challenges i…
FairPIVARA: Reducing and Assessing Biases in CLIP-Based Multimodal Models
Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva +10
Despite significant advancements and pervasive use of vision-language models, a paucity of studies has addressed their ethical implications. These models typically require extensiv…