BARACCHI, DANIELE
BARACCHI, DANIELE
Ingegneria dell'Informazione
A CODEC-BASED APPROACH FOR VIDEO LIFE-CYCLE CHARACTERIZATION IN SOCIAL NETWORKS
2024 Bertazzini G.; Baracchi D.; Shullani D.; Iuliani M.; Piva A.
A survey of deep learning-based source image forensics
2020 Yang P.; Baracchi D.; Ni R.; Zhao Y.; Argenti F.; Piva A.
Beyond the Brush: Fully-automated Crafting of Realistic Inpainted Images
2024 Bertazzini G.; Albisani C.; Baracchi D.; Shullani D.; Piva A.
Camera Obscura: Exploiting in-camera processing for image counter forensics
2021 Baracchi D.; Shullani D.; Iuliani M.; Giani D.; Piva A.
CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos
2024 Bertazzini, G; Baracchi, D; Shullani, D; Iuliani, M; Piva, A
Continual learning for adaptive social network identification
2024 Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A.
Efficient video integrity analysis through container characterization
2020 yang P.; Baracchi D.; Iuliani M.; Shullani D.; Ni R.; Zhao Y.; Piva A.
Facing Image Source Attribution on iPhone X
2021 Baracchi D.; Iuliani M.; Nencini A.G.; Piva A.
FloreView: An Image and Video Dataset for Forensic Analysis
2023 Baracchi D.; Shullani D.; Iuliani M.; Piva A.
Novel neural networks for structured data
2018 Daniele Baracchi
Shift aggregate extract networks
2018 Orsini, Francesco*; Baracchi, Daniele; Frasconi, Paolo
Social network identification of laundered videos based on DCT coefficient analysis
2022 Shullani D.; Baracchi D.; Iuliani M.; Piva A.
STRUCTURE MATTERS: ANALYZING VIDEOS VIA GRAPH NEURAL NETWORKS FOR SOCIAL MEDIA PLATFORM ATTRIBUTION
2024 Gemelli A.; Shullani D.; Baracchi D.; Marinai S.; Piva A.
Tiny Autoencoders are Effective Few-Shot Generative Model Detectors
2024 Bindini L.; Bertazzini G.; Baracchi D.; Shullani D.; Frasconi P.; Piva A.
Toward Open-World Multimedia Forensics Through Media Signature Encoding
2024 Baracchi, Daniele; Boato, Giulia; De Natale, Francesco; Iuliani, Massimo; Montibeller, Andrea; Pasquini, Cecilia; Piva, Alessandro; Shullani, Dasara
Towards Continual Social Network Identification
2023 Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A.
Towards Learned Color Representations for Image Splicing Detection
2019 Benjamin Hadwiger ; Daniele Baracchi ; Alessandro Piva ; Christian Riess
Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach
2021 Frasconi, Paolo; Baracchi, Daniele; Giusti, Betti; Kura, Ada; Spaziani, Gaia; Cherubini, Antonella; Favilli, Silvia; Di Lenarda, Andrea; Pepe, Guglielmina; Nistri, Stefano
Uncovering the authorship: Linking media content to social user profiles
2024 Baracchi D.; Shullani D.; Iuliani M.; Giani D.; Piva A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A CODEC-BASED APPROACH FOR VIDEO LIFE-CYCLE CHARACTERIZATION IN SOCIAL NETWORKS | 2024 | Bertazzini G.; Baracchi D.; Shullani D.; Iuliani M.; Piva A. | |
| A survey of deep learning-based source image forensics | 2020 | Yang P.; Baracchi D.; Ni R.; Zhao Y.; Argenti F.; Piva A. | |
| Beyond the Brush: Fully-automated Crafting of Realistic Inpainted Images | 2024 | Bertazzini G.; Albisani C.; Baracchi D.; Shullani D.; Piva A. | |
| Camera Obscura: Exploiting in-camera processing for image counter forensics | 2021 | Baracchi D.; Shullani D.; Iuliani M.; Giani D.; Piva A. | |
| CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos | 2024 | Bertazzini, G; Baracchi, D; Shullani, D; Iuliani, M; Piva, A | |
| Continual learning for adaptive social network identification | 2024 | Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A. | |
| Efficient video integrity analysis through container characterization | 2020 | yang P.; Baracchi D.; Iuliani M.; Shullani D.; Ni R.; Zhao Y.; Piva A. | |
| Facing Image Source Attribution on iPhone X | 2021 | Baracchi D.; Iuliani M.; Nencini A.G.; Piva A. | |
| FloreView: An Image and Video Dataset for Forensic Analysis | 2023 | Baracchi D.; Shullani D.; Iuliani M.; Piva A. | |
| Novel neural networks for structured data | 2018 | Daniele Baracchi | |
| Shift aggregate extract networks | 2018 | Orsini, Francesco*; Baracchi, Daniele; Frasconi, Paolo | |
| Social network identification of laundered videos based on DCT coefficient analysis | 2022 | Shullani D.; Baracchi D.; Iuliani M.; Piva A. | |
| STRUCTURE MATTERS: ANALYZING VIDEOS VIA GRAPH NEURAL NETWORKS FOR SOCIAL MEDIA PLATFORM ATTRIBUTION | 2024 | Gemelli A.; Shullani D.; Baracchi D.; Marinai S.; Piva A. | |
| Tiny Autoencoders are Effective Few-Shot Generative Model Detectors | 2024 | Bindini L.; Bertazzini G.; Baracchi D.; Shullani D.; Frasconi P.; Piva A. | |
| Toward Open-World Multimedia Forensics Through Media Signature Encoding | 2024 | Baracchi, Daniele; Boato, Giulia; De Natale, Francesco; Iuliani, Massimo; Montibeller, Andrea; Pasquini, Cecilia; Piva, Alessandro; Shullani, Dasara | |
| Towards Continual Social Network Identification | 2023 | Magistri S.; Baracchi D.; Shullani D.; Bagdanov A.D.; Piva A. | |
| Towards Learned Color Representations for Image Splicing Detection | 2019 | Benjamin Hadwiger ; Daniele Baracchi ; Alessandro Piva ; Christian Riess | |
| Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach | 2021 | Frasconi, Paolo; Baracchi, Daniele; Giusti, Betti; Kura, Ada; Spaziani, Gaia; Cherubini, Antonella; Favilli, Silvia; Di Lenarda, Andrea; Pepe, Guglielmina; Nistri, Stefano | |
| Uncovering the authorship: Linking media content to social user profiles | 2024 | Baracchi D.; Shullani D.; Iuliani M.; Giani D.; Piva A. |