Our RINE synthetic image detection model has been accepted for publication in @eccvconf - you can read more about it in our blog post: mever.gr/post/represent…
The Media Analysis, Verification and Retrieval research group is working on media intelligence solutions, with particular interest in countering online harms.
- To help with the reliable and in-depth evaluation of Synthetic Image Detection (SID) methods, we introduce SIDBench, a modular Python framework that accommodates a variety of detection models and synthetic datasets. Find the pre-print here: arxiv.org/abs/2404.18552
- Next week in the AIMMES 2024 workshop, our team will present a framework for bias assessment and mitigation, paired with our FairBench Python library developed within @mammoth_ai. Read the pre-print here: zenodo.org/records/107990… #ΑΙFairness #EthicalAI
- As part of the #FRCSyn-onGoing challenge, we explored breakthroughs in #facerecognition and #syntheticmedia technology to mitigate demographic bias and enhance performance in challenging conditions. See related Information Fusion paper here: bit.ly/3uVrY8L
- Our team contributed to a new white paper on #GenerativeAI and #Disinformation jointly with researchers from @ai4mediaproject , @veraai_eu , @ai4trust , and @TITAN_Thinking You can find the paper on @EDMO_EUI website: bit.ly/white-paper-ai…

