DeepUAge: Improving Underage Age Estimation Accuracy to Aid CSEM Investigation

Author:

Anda Felix,Le-Khac Nhien-An,Scanlon Mark

Funder

Google Cloud Platform Research Credits Program

Publisher

Elsevier BV

Reference36 articles.

1. Evaluating automated facial age estimation techniques for digital forensics;Anda,2018

2. Improving borderline adulthood facial age estimation through ensemble learning;Anda,2019

3. Apparent age estimation from face images combining general and children-specialized deep learning models;Antipov,2016

4. Large-scale machine learning with stochastic gradient descent;Bottou,2010

5. An age estimation dataset with applications to detect infants in pornography content;Castrillón-Santana,2016

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1. Comparison of deep learning classification models for facial image age estimation in digital forensic investigations;Forensic Science International: Digital Investigation;2023-12

2. Enhancing Digital Investigation: Leveraging ChatGPT for Evidence Identification and Analysis in Digital Forensics;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03

3. Online grooming detection: A comprehensive survey of child exploitation in chat logs;Knowledge-Based Systems;2023-01

4. Detecting and ranking pornographic content in videos;Forensic Science International: Digital Investigation;2022-10

5. Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets;2022 ACM Conference on Fairness, Accountability, and Transparency;2022-06-20

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