Detecting child sexual abuse material: A comprehensive survey

HE Lee, T Ermakova, V Ververis, B Fabian - Forensic Science International …, 2020 - Elsevier
Victims of child sexual abuse suffer from physical, psychological, and emotional trauma. The
detection and deletion of illicit online child sexual abuse material (CSAM) helps in reducing …

AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images

A Gangwar, V González-Castro, E Alegre, E Fidalgo - Neurocomputing, 2021 - Elsevier
Nowadays, the growing number of cases of possession and distribution of Child Sexual
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …

An insightful analysis of digital forensics effects on networks and multimedia applications

A Rajeev, P Raviraj - SN Computer Science, 2023 - Springer
Humans have benefited greatly from technology, which has helped to raise standards of
living and make important discoveries. But there are a lot of hazards associated with using it …

Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition

A Gangwar, V González-Castro, E Alegre, E Fidalgo - Neurocomputing, 2023 - Elsevier
Automatic recognition of facial images showing erotic expressions can help to understand
our social interaction and to detect non-appropriate images even when there is no …

A new perceptual hashing method for verification and identity classification of occluded faces

R Biswas, V González-Castro, E Fidalgo… - Image and Vision …, 2021 - Elsevier
Recently, research communities on Computer Vision and biometrics have shown a lot of
interest in face verification and classification methods. Fighting against Child Sexual …

Assessment and estimation of face detection performance based on deep learning for forensic applications

D Chaves, E Fidalgo, E Alegre, R Alaiz-Rodríguez… - Sensors, 2020 - mdpi.com
Face recognition is a valuable forensic tool for criminal investigators since it certainly helps
in identifying individuals in scenarios of criminal activity like fugitives or child sexual abuse. It …

Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering

E Fidalgo, E Alegre, L Fernández-Robles… - Digital …, 2019 - Elsevier
One of the tasks Law Enforcement Agencies are responsible for is to find evidence of
criminal activities in the Darknet. However, visiting thousands of domains to locate visual …

A machine learning forensics technique to detect post-processing in digital videos

ALS Orozco, CQ Huamán, DP Álvarez… - Future Generation …, 2020 - Elsevier
Technology has brought great benefits to human beings and has served to improve the
quality of life and carry out great discoveries. However, its use can also involve many risks …

Adima: Abuse detection in multilingual audio

V Gupta, R Sharon, R Sawhney… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Abusive content detection in spoken text can be addressed by performing Automatic Speech
Recognition (ASR) and leveraging advancements in natural language processing. However …

Seeing without looking: Analysis pipeline for child sexual abuse datasets

C Laranjeira da Silva, J Macedo, S Avila… - Proceedings of the …, 2022 - dl.acm.org
The online sharing and viewing of Child Sexual Abuse Material (CSAM) are growing fast,
such that human experts can no longer handle the manual inspection. However, the …