Technology for the Digital Protection of Minors
Technological solutions to prevent and combat child sexual abuse
Online forums, chat portals and messenger apps offer new communication opportunities and business models, as well as unprecedented freedom of self-expression. However, privacy can be violated, content can be shared without consent and crimes can be prepared, especially among children and young people. The Internet exacerbates these problems because of its reach and permanence. Prof. Martin Steinebach and his team have developed innovative technologies to warn against the careless sending of nude photos by minors - so-called 'sexting'. They have also developed advanced methods for identifying adults who pose as minors in digital spaces. This also helps to reduce potential risks to children and young people. The work of the ATHENE team is attracting a lot of attention from policy makers.
ATHENE projects and contributions from its "Technology for the Digital Protection of Minors" think tank
ATHENE Research Area "Reliable and Verifiable Information through Secure Media (REVISE)"
In this research area, ATHENE investigates methods for the reliable detection of manipulated media content. Innovative algorithms, automated detection systems and pattern analysis will be used to develop solutions that also contribute to bridging legal and technical gaps.
More about REVISE
Report in the Hessenschau on the topic „TikTok ohne Beauty-Filter“, 16.12.2024
with Prof. Christian Reuter
to the report on YouTube (from minute 3:10)
Article in the DuD • Datenschutz und Datensicherheit "KI-generierte Abbildungen von Kindesmissbrauch", 5/2024
Autohr: Prof. Martin Steinebach
to the article
Article in the DuD • Datenschutz und Datensicherheit "Erkennung von Kindesmissbrauch in Medien - Methoden und ihre Herausforderungen, 4/2023
Author: Prof. Martin Steinebach
to the article
Statement on the consultation „Chatkontrolle“ im Ausschuss für Digitales im Deutschen Bundestag, 01.03.2023
of Prof. Martin Steinebach
to the consultation
Report in the medienkurs: Maschinelles Lernen im Jugendschutz", 2/2022
Author: Prof. Martin Steinebach
to the report
Study „Technik für den digitalen Jugendschutz - Automatische Erkennung von Sexting und Cybergrooming“, 2021
Authors: Prof. Martin Steinebach, Inna Vogel
to the study
