COM-PRESS: Detection tool for manipulated images
Researcher
Stephanie D'haeseleer (imec-mict & CJS)
Prof. dr. Tom Evens (imec-mict)
Co-supervisor
dr. Kristin Van Damme (imec-mict & CJS)
Disinformation and misinformation is a growing problem for our society since the rise of social media. Images are spread and viewed at a rapid pace, without guarantees on their authenticity. To address this, independent news media conduct fact)checks in which they check and refute viral messages. Despite news organisations’ vast baggage of experience and knowledge, detecting manipulations made with sophisticated techniques is extremely difficult.
The COM-PRESS research project will develop detection methods that journalists can use to detect and debunk manipulations. It investigates new, promising techniques that look deeper than what can be seen with the naked eye (e.g. at the compression history). The COM-PRESS consortium will further explore these techniques in fundamental research, while bridging the gap to socially relevant use cases.