Author Archives: Marco Fontani

Reading time: 7 minThis fall’s Authenticate update brings great improvements to our deepfake detection features, with the ability to run deepfake detection on batches of images and from within the Smart Report!

Reading time: 3 minRecompression can leave invisible traces that alter the integrity of digital evidence. Discover how our latest research is helping forensic analysts expose hidden tampering in HEVC video files.

Reading time: 9 minThe latest Amped Authenticate update introduces the new Perspective filter, enabling experts to analyze perspective in images and spot inconsistencies in vanishing points to detect deepfakes and manipulation.The update also delivers improvements to Video Mode, report generation, and more.

Reading time: 2 minThis blog post highlights groundbreaking research on deepfakes presented at WIFS 2024. Discover how analyzing shadows and reflections in AI-generated images can expose manipulation.

Reading time: 8 minAmped Authenticate has just received a major upgrade. From advanced video analysis capabilities like the new Coding Tree Units filter and RIFF Viewer, to enhanced deepfake detection with our improved Diffusion Model Deepfake filter (now featuring the Flux model), this release is filled with improvements. You’ll also find expanded redaction options in Annotate’s Hide tool […]

Reading time: 7 minThis latest Authenticate update introduces the new Reflections filter. Now, you confidently identify inconsistencies and prove when something isn’t quite right. We’ve also improved the Diffusion Model Deepfake filter, empowered Annotations, and more!

Reading time: 8 minWith deepfake images getting increasingly realistic, staying ahead of detection techniques is more important than ever. In this article, we explore various clues—both intuitive and technical—that can assist in detecting deepfakes.

Reading time: 3 minWhen performing image and video restoration through filtering, the order of the filter chain does make a difference. Read the scientific paper we recently co-authored with the University of Florence!

Reading time: 2 minAmped Software co-authored a scientific paper, this time about detecting double encoding in HEIF images. Read the paper, it’s open access!

Reading time: 6 minIn this update, we’re introducing range-based processing in Authenticate Video Mode and frame overlays in VPF Analysis. We’ve also enhanced our Social Media Identification filter by adding LinkedIn support. Plus, we’ve made numerous other improvements and bug fixes to streamline your workflow and boost efficiency.

Reading time: 8 minOur latest article explains the difference between various kinds of deepfakes and how to detect AI images generated by commercial text-to-image models (Dall-E, Midjourney) with Amped Authenticate’s newest Diffusion Model Deepfake filter.

Reading time: 8 minAdvanced diffusion model deepfake detection capabilities are coming into Amped Authenticate with this latest update, plus new tools and features for the Video mode!