This is the official repository for our image anomaly detection model PICARD (Pluralistic Image Completion for Anomalous Representation Detection) from our paper Unsupervised anomaly localization in ...

In this paper, we introduce the Social media Image Detection dataSet (SID-Set), which offers three key advantages: Extensive volume: Featuring 300K AI-generated/tampered and authentic images with ...

In multimedia forensics, many efforts have been made to detect whether an image is pristine or manipulated with high enough accuracies based on specially designed features and classifiers in the past ...

Recent advances in image editing techniques have posed serious challenges to the trustworthiness of multimedia data, which drives the research of image tampering detection. In this paper, we propose ...

The rapid advancement of generative AI has made image manipulation easier, complicating the detection of tampered content. While effective, current Image Forgery Detection and Localization (IFDL) ...

The variability and unpredictability of symptoms postinfection increase the complexity of image-based disease detection methods, leading to a higher false alarm rate. Aim: To address this challenge, ...