deepfakes

To Spot Fake Voices, Look Beyond the Sound, Researchers Say

Researchers at Northwestern University report that fake audio of public figures can be caught more reliably when detectors use simple context and written transcripts, not just the sound itself. Their results point to a practical shift in how tools should flag deepfake voices. This matters as false clips travel fast

Fast, adaptable detection of AI-generated images

Can we quickly tell if an image is AI-made — and even which generator produced it — without retraining huge models every month? This study says yes. The authors propose a two-stage system: * Learn a visual "fingerprint" space. A vision model trained with supervised contrastive learning separates real vs. synthetic