Scientific Research

Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse

Criminal investigationNatural Language Processing

Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts

Machine learningNatural Language Processing

Cornell University

BS-SC Model: A Novel Method for Predicting Child Abuse Using Borderline-SMOTE Enabled Stacking Classifier

PreventionDetectionClustering/Classification

B. S. Abdur Rahman Crescent Institute of Science and Technology

Applications of artificial intelligence in predicting the risk of child abuse: A literature review

DetectionChild-focusedNeural networks

King Faisal Specialist Hospital and Research Centre Princess Nora bint Abdul Rahman University Mississippi State University

Discovering Child Sexual Abuse Material Creator´s Behaviors and Preferences on the Dark Web

Child Sexual Abuse Material (CSAM)PerpetratorsClustering/Classification

Technological University Dublin

Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions

EthicsDetectionPrevention

Columbia University

Hand-Based Person Identification Using Global and Part-Aware Deep Feature Representation Learning

Artificial intelligenceprosecutionChild Sexual Abuse Material (CSAM)Machine learning

Lancaster University

Online Grooming Detection on Social Media Platforms

DetectionClustering/Classification

Norwegian University of Science and Technology

Sperm hunting on optical microscope slides for forensic analysis with deep convolutional networks – a feasibility study

Perpetrators

Zurich Institute of Forensic Medicine

Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos

Child Sexual Abuse Material (CSAM)Perpetrators

San Jose State University

Child Sexual Abuse Material Online: The Perspective of Online Investigators on Training and Support

Child Sexual Abuse Material (CSAM)prosecutionPerpetrators

Griffith University

Child Abuse Risk Prediction and Prevention Framework using AI and Dark Web

Child Sexual Abuse Material (CSAM)PreventionNeural networks

Adhiyamaan College of Engineering

Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations

Artificial intelligenceNeural networks

University of Warwick

Prediction of the development of depression and post-traumatic stress disorder in sexually abused children using a random forest classifier

Clustering/ClassificationMachine learningPost-crime effortsChild-focusedPost-traumatic stress (PTS)

Uskudar University Medical Faculty, Istanbul, Turkey

Predicting Prolific Live Streaming of Child Sexual Abuse

Financial transactionsArtificial intelligenceSupervised learningMachine learningCriminal investigationChild Sexual Abuse Material (CSAM)

Australian Institute of Criminology

Automated Biometric Identification using Dorsal Hand Images and Convolutional Neural Networks

Neural networksPerpetrators

Auckland University of Technology

Multimodal Virtual Avatars for Investigative Interviews with Children

Criminal investigationprosecution

Oslo Metropolitan University

Early Detection of Sexual Predators in Chats

Natural Language ProcessingClustering/Classification

Humboldt Universitat zu Berlin

Keeping Children Safe Online With Limited Resources: Analyzing What is Seen and Heard

PreventionClustering/ClassificationNeural networks

Singidunum University

Suspicious activity detection using deep learning in secure assisted living IoT environments

Child Sexual Abuse Material (CSAM)Neural networks

Nalla Malla Engineering College, Galgotias University, Vellore Institute of Technology

Illegal Online Sexual Behavior During the COVID-19 Pandemic

PreventionPerpetratorsChild Sexual Abuse Material (CSAM)Financial transactions

Karolinska Institutet

Sexuella övergrepp via nätet lika allvarliga som IRL

Child-focusedChild Sexual Abuse Material (CSAM)Prevention

Göteborgs Universitet

An Integrative Review of Historical Technology and Countermeasure Usage Trends in Online Child Sexual Exploitation Material Offender

Child Sexual Abuse Material (CSAM)PerpetratorsCriminal investigationPrevention

University of Edinburgh and George Mason University

Can Artificial Intelligence Achieve Human-Level Performance? A Pilot Study of Childhood Sexual Abuse Detection in Self-Figure Drawings

Artificial intelligencePerpetratorsCriminal investigationSupervised learningNeural networksMachine learningChild-focusedChild Sexual Abuse Material (CSAM)

University of Haifa

Estimation of the Development of Depression and PTSD in Children Exposed to Sexual Abuse and Development of Decision Support Systems by Using Artificial Intelligence

Child-focusedPost-traumatic stress (PTS)Post-crime efforts

Inonu University

A Practitioner Survey Exploring the Value of Forensic Tools, AI, Filtering, & Safer Presentation for Investigating Child Sexual Abuse Material (CSAM)

Artificial intelligencePreventionNeural networks

University of New Haven / Digital Forensic Research Workshop

Child Abuse and Domestic Abuse: Content and Feature Analysis from Social Media Disclosures

Artificial intelligenceMachine learningPreventionChild Sexual Abuse Material (CSAM)

Victoria University and University of Melbourne

Therabot: An Adaptive Therapeutic Support Robot

Post-crime effortsChild-focusedRoboticsPost-traumatic stress (PTS)

Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University

Offender strategies for engaging children in online sexual activity

PreventionChild Sexual Abuse Material (CSAM)

Department of Psychology, University of Gothenburg

Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users

PreventionNeural networks

University of Queensland