/w=640,quality=80)
Organization
Auckland University of Technology
Description
The researchers are investigating how well AI can be applied to identify people based solely on the back of their hands. They achieve accuracies of over 99.9%, indicating that such tools can be used to identify perpetrators in child sexual abuse material.
File
Tags
Neural networksPerpetrators
Type
Research (peer reviewed)
Year
2021
Child Sexual Abuse on the Internet: Report on the Analysis of Technological Factors that Affect the Creation and Sharing of Child Sexual Abuse Material on the Internet.
Child Sexual Abuse on the Internet: Report on the Analysis of Technological Factors that Affect the Creation and Sharing of Child Sexual Abuse Material on the Internet.
BI Norwegian Business School, Norwegian University of Science and Technology
Report
InternetPolicyDetectionprosecutionPost-crime effortsCriminal investigation
Childhood Activity Report 2022
Childhood Activity Report 2022
…det var en känsla av att han befann sig i rummet bredvid
…det var en känsla av att han befann sig i rummet bredvid
World Childhood Foundation
Report
Sperm hunting on optical microscope slides for forensic analysis with deep convolutional networks – a feasibility study
Sperm hunting on optical microscope slides for forensic analysis with deep convolutional networks – a feasibility study
Zurich Institute of Forensic Medicine
Research (peer reviewed)
Perpetrators
Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos
Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos
San Jose State University
Research (peer reviewed)
Child Sexual Abuse Material (CSAM)Perpetrators
Child Sexual Abuse Material Online: The Perspective of Online Investigators on Training and Support
Child Sexual Abuse Material Online: The Perspective of Online Investigators on Training and Support
Griffith University
Research (peer reviewed)
Child Sexual Abuse Material (CSAM)prosecutionPerpetrators
Child Online Safety Toolkit
Child Online Safety Toolkit
Child Abuse Risk Prediction and Prevention Framework using AI and Dark Web
Child Abuse Risk Prediction and Prevention Framework using AI and Dark Web
Adhiyamaan College of Engineering
Research (peer reviewed)
Child Sexual Abuse Material (CSAM)PreventionNeural networks
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations
University of Warwick
Research (peer reviewed)
Artificial intelligenceNeural networks
Hand-Based Person Identification Using Global and Part-Aware Deep Feature Representation Learning
Hand-Based Person Identification Using Global and Part-Aware Deep Feature Representation Learning
Lancaster University
Research (peer reviewed)
Artificial intelligenceprosecutionChild Sexual Abuse Material (CSAM)Machine learning
Global Threat Assessment 2021
Global Threat Assessment 2021
ReDirection survey report
ReDirection survey report
Unga sex och internet #MeToo
Unga sex och internet #MeToo
Internetrelaterade sexuella övergrepp mot barn
Internetrelaterade sexuella övergrepp mot barn
How SARs fight online child sexual abuse by flagging financial crime
How SARs fight online child sexual abuse by flagging financial crime
Predicting Prolific Live Streaming of Child Sexual Abuse
Predicting Prolific Live Streaming of Child Sexual Abuse
Australian Institute of Criminology
Research (peer reviewed)
Financial transactionsArtificial intelligenceSupervised learningMachine learningCriminal investigationChild Sexual Abuse Material (CSAM)
Automated Biometric Identification using Dorsal Hand Images and Convolutional Neural Networks
Automated Biometric Identification using Dorsal Hand Images and Convolutional Neural Networks
Auckland University of Technology
Research (peer reviewed)
Neural networksPerpetrators
Multimodal Virtual Avatars for Investigative Interviews with Children
Multimodal Virtual Avatars for Investigative Interviews with Children
Oslo Metropolitan University
Research (peer reviewed)
Criminal investigationprosecution
Early Detection of Sexual Predators in Chats
Early Detection of Sexual Predators in Chats
Humboldt Universitat zu Berlin
Research (peer reviewed)
Natural Language ProcessingClustering/Classification
When “Sweetie” is not so Sweet: Artificial Intelligence and its Implications for Child Pornography
When “Sweetie” is not so Sweet: Artificial Intelligence and its Implications for Child Pornography
Report
Child Sexual Abuse Material (CSAM)prosecution
Keeping Children Safe Online With Limited
Resources: Analyzing What is Seen and Heard
Keeping Children Safe Online With Limited
Resources: Analyzing What is Seen and Heard
Singidunum University
Research (peer reviewed)
PreventionClustering/ClassificationNeural networks
Suspicious activity detection using deep learning in secure assisted living IoT environments
Suspicious activity detection using deep learning in secure assisted living IoT environments
Research (peer reviewed)
Child Sexual Abuse Material (CSAM)Neural networks
NetClean Report 2020 - Covid-19 Impact
NetClean Report 2020 - Covid-19 Impact
Illegal Online Sexual Behavior During the COVID-19 Pandemic
Illegal Online Sexual Behavior During the COVID-19 Pandemic
Research (peer reviewed)
PreventionPerpetratorsChild Sexual Abuse Material (CSAM)Financial transactions
Sexuella övergrepp via nätet lika allvarliga som IRL
Sexuella övergrepp via nätet lika allvarliga som IRL
Göteborgs Universitet
Research (peer reviewed)
Child-focusedChild Sexual Abuse Material (CSAM)Prevention
Summary Paper on Online Child Sexual Exploitation
Summary Paper on Online Child Sexual Exploitation
Curbing the Surge
in Online Child Abuse
Curbing the Surge
in Online Child Abuse
Action to End child Sexual Abuse and Exploitation
Action to End child Sexual Abuse and Exploitation
Brief version: Action to End child Sexual Abuse and Exploitation
Brief version: Action to End child Sexual Abuse and Exploitation
An Integrative Review of Historical Technology and Countermeasure Usage Trends in Online Child Sexual Exploitation Material Offender
An Integrative Review of Historical Technology and Countermeasure Usage Trends in Online Child Sexual Exploitation Material Offender
University of Edinburgh and George Mason University
Research (peer reviewed)
Child Sexual Abuse Material (CSAM)PerpetratorsCriminal investigationPrevention
How Facial Recognition Is Helping Fight Child Sexual Abuse
How Facial Recognition Is Helping Fight Child Sexual Abuse
Griffeye
Other publication
Child Sexual Abuse Material (CSAM)Criminal investigationMachine learningArtificial intelligence
Can Artificial Intelligence Achieve Human-Level Performance? A Pilot Study of Childhood Sexual Abuse Detection in Self-Figure Drawings
Can Artificial Intelligence Achieve Human-Level Performance? A Pilot Study of Childhood Sexual Abuse Detection in Self-Figure Drawings
University of Haifa
Research (peer reviewed)
Artificial intelligencePerpetratorsCriminal investigationSupervised learningNeural networksMachine learningChild-focusedChild Sexual Abuse Material (CSAM)
Estimation of the Development of Depression and PTSD in Children Exposed to Sexual Abuse and Development of Decision Support Systems by Using Artificial Intelligence
Estimation of the Development of Depression and PTSD in Children Exposed to Sexual Abuse and Development of Decision Support Systems by Using Artificial Intelligence
Inonu University
Research (peer reviewed)
Child-focusedPost-traumatic stress (PTS)Post-crime efforts
AI Roundtable 2019 Summary
AI Roundtable 2019 Summary
Artificial Intelligence: combating online sexual abuse of children
Artificial Intelligence: combating online sexual abuse of children
Out of the Shadow
Out of the Shadow
What Works to Prevent Sexual Violence Against Children
What Works to Prevent Sexual Violence Against Children
Child Online Safety:
Minimizing the Risk of Violence,
Abuse and Exploitation Online.
Child Online Safety:
Minimizing the Risk of Violence,
Abuse and Exploitation Online.
A Practitioner Survey Exploring the Value of Forensic Tools, AI, Filtering, & Safer Presentation for Investigating Child Sexual Abuse Material (CSAM)
A Practitioner Survey Exploring the Value of Forensic Tools, AI, Filtering, & Safer Presentation for Investigating Child Sexual Abuse Material (CSAM)
University of New Haven / Digital Forensic Research Workshop
Research (peer reviewed)
Artificial intelligencePreventionNeural networks
Therabot: An Adaptive Therapeutic Support Robot
Therabot: An Adaptive Therapeutic Support Robot
Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University
Research (peer reviewed)
Post-crime effortsChild-focusedRoboticsPost-traumatic stress (PTS)
Offender strategies for engaging children in online sexual activity
Offender strategies for engaging children in online sexual activity
Department of Psychology, University of Gothenburg
Research (peer reviewed)
PreventionChild Sexual Abuse Material (CSAM)
Study on the Effects of New Information Technologies on the Abuse and Exploitation
of Children
Study on the Effects of New Information Technologies on the Abuse and Exploitation
of Children
Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users
Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users