Research Papers

– Leporoni G., Maiano L., Papa L., Amerini I. A Guided-Based Approach for Deepfake
Detection: RGB-Depth Integration via Features Fusion. Pattern Recognition Letter, 2024

– Maiano L., Benova A., Papa L., Stockner M., Marchetti M., Convertino G., Mazzoni G., and Amerini I. Human vs machine: a comparative analysis in detecting AI- generated images. IEEE Security & Privacy, 2024

– Papa L., P. Russo P., Amerini I., Zhou L. A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

– Gao J., Micheletto M., Orrù G., Concas S., Feng X., Marcialis G.L., Roli F. Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection. Engineering Applications of Artificial Intellingence, 2024

– Gao J., Xia Z., Marcialis G.L., Dang C., DAi J., Feng X. Deepfake detection based on high-frequency enhancement network for highly compressed content. Expert Systems with Applications, 2024

– Panzino A., La Cava S.M., Orrù G., Marcialis G.L. Evaluating the Integration of Morph Attack Detection in Automated Face Recognition Systems. Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2nd Workshop and Challenge on DeepFake Analysis and Detection, 2024

– Concas S., La Cava S.M., Casula R., Orrù G., Puglisi G., Marcialis G.L. Quality-based Artifact Modeling for Facial Deepfake Detection in Videos. Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2nd Workshop and Challenge on DeepFake Analysis and Detection, 2024

– Amerini I., , Barni M., Battiato S., Bestagini P., Boato G., Sari Bonaventura T., Bruni V., Caldelli R., De Natale F., De Nicola R., Guarnera L., Mandelli S., Marcialis G.L., Micheletto M., Montibeller A., Orrù G., Ortis A., Perazzo P., Puglisi G., Salvi D., Tubaro S., Melis Tonti C., Villari M., Vitulano D. Deepfake Media Forensics: State of the Art and Challenges Ahead. 16th Int. Conf. on Advances in Social Networks Analysis and Mining, 2024 (pre-print)