Gemelli A.; Shullani D.; Baracchi D.; Marinai S.; Piva A. (2024). STRUCTURE MATTERS: ANALYZING VIDEOS VIA GRAPH NEURAL NETWORKS FOR SOCIAL MEDIA PLATFORM ATTRIBUTION. In: 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, Seoul, Korea, 2024, Institute of Electrical and Electronics Engineers Inc., pp. 4735-4739. DOI  

  Baracchi, Daniele; Boato, Giulia; De Natale, Francesco; Iuliani, Massimo; Montibeller, Andrea; Pasquini, Cecilia; Piva, Alessandro; Shullani, Dasara (2024). Toward Open-World Multimedia Forensics Through Media Signature Encoding. IEEE ACCESS, vol. 12, pp. 59930-59952, ISSN:2169-3536 DOI  

  Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A. (2024). Continual learning for adaptive social network identification. PATTERN RECOGNITION LETTERS, vol. 180, pp. 82-89, ISSN:0167-8655 DOI  

  Baracchi D.; Shullani D.; Iuliani M.; Giani D.; Piva A. (2024). Uncovering the authorship: Linking media content to social user profiles. PATTERN RECOGNITION LETTERS, vol. 181, pp. 9-15, ISSN:0167-8655 DOI  

  Bertazzini G.; Baracchi D.; Shullani D.; Iuliani M.; Piva A. (2024). A CODEC-BASED APPROACH FOR VIDEO LIFE-CYCLE CHARACTERIZATION IN SOCIAL NETWORKS. In: 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, Seoul, Korea, 2024, Institute of Electrical and Electronics Engineers Inc., pp. 4790-4794. DOI  

  Bindini L.; Bertazzini G.; Baracchi D.; Shullani D.; Frasconi P.; Piva A. (2024). Tiny Autoencoders are Effective Few-Shot Generative Model Detectors. In: 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, ita, 2024, Institute of Electrical and Electronics Engineers Inc., pp. 1-6. DOI  

  Bertazzini G.; Albisani C.; Baracchi D.; Shullani D.; Piva A. (2024). Beyond the Brush: Fully-automated Crafting of Realistic Inpainted Images. In: 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, ita, 2024, Institute of Electrical and Electronics Engineers Inc., pp. 1-6. DOI  

  Bertazzini, G; Baracchi, D; Shullani, D; Iuliani, M; Piva, A (2024). CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos. EURASIP JOURNAL ON INFORMATION SECURITY, vol. 2024, pp. 0-0, ISSN:2510-523X DOI  

  Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A. (2023). Towards Continual Social Network Identification. In: 11th International Workshop on Biometrics and Forensics, IWBF 2023, Barcelona, Spain, April 19 th - 20 th, 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, ISBN:979-8-3503-3607-8 DOI  

  Baracchi D.; Shullani D.; Iuliani M.; Piva A. (2023). FloreView: An Image and Video Dataset for Forensic Analysis. IEEE ACCESS, vol. 11, pp. 109267-109282, ISSN:2169-3536 DOI  

  Shullani D.; Baracchi D.; Iuliani M.; Piva A. (2022). Social network identification of laundered videos based on DCT coefficient analysis. IEEE SIGNAL PROCESSING LETTERS, vol. 29, pp. 1112-1116, ISSN:1070-9908 DOI  

  Frasconi, Paolo; Baracchi, Daniele; Giusti, Betti; Kura, Ada; Spaziani, Gaia; Cherubini, Antonella; Favilli, Silvia; Di Lenarda, Andrea; Pepe, Guglielmina; Nistri, Stefano (2021). Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach. DIAGNOSTICS, vol. 11, pp. 0-0, ISSN:2075-4418 DOI  

  Baracchi D.; Iuliani M.; Nencini A.G.; Piva A. (2021). Facing Image Source Attribution on iPhone X. In: 19th International Workshop on Digital Forensics and Watermarking, IWDW 2020, Australia, November 25-27,, Springer Science and Business Media Deutschland GmbH, vol. 12617, pp. 196-207, ISBN:978-3-030-69448-7 DOI  

  Baracchi D.; Shullani D.; Iuliani M.; Giani D.; Piva A. (2021). Camera Obscura: Exploiting in-camera processing for image counter forensics. FORENSIC SCIENCE INTERNATIONAL. DIGITAL INVESTIGATION, vol. 38, pp. 0-0, ISSN:2666-2825 DOI  

  yang P.; Baracchi D.; Iuliani M.; Shullani D.; Ni R.; Zhao Y.; Piva A. (2020). Efficient video integrity analysis through container characterization. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, vol. 14, pp. 947-954, ISSN:1932-4553 DOI  

  Yang P.; Baracchi D.; Ni R.; Zhao Y.; Argenti F.; Piva A. (2020). A survey of deep learning-based source image forensics. JOURNAL OF IMAGING, vol. 6, pp. 0-0, ISSN:2313-433X DOI   Accesso ONLINE all'editore

  Benjamin Hadwiger ; Daniele Baracchi ; Alessandro Piva ; Christian Riess (2019). Towards Learned Color Representations for Image Splicing Detection. In: IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, United Kingdom, 12-17 May 2019, IEEE, pp. 8281-8285.

  Daniele Baracchi (2018). Novel neural networks for structured data. (Tutor: Paolo Frasconi)

  Orsini, Francesco*; Baracchi, Daniele; Frasconi, Paolo (2018). Shift aggregate extract networks. FRONTIERS IN ROBOTICS AND AI, vol. 5, pp. 0-0, ISSN:2296-9144 DOI   Accesso ONLINE all'editore