Anticollusion solutions for asymmetric fingerprinting protocols based on client side embedding. - Tiziano Bianchi; Alessandro Piva; Dasara Shullani (EURASIP J. Inf. Secur., 2015)

A Dataset for Forensic Analysis of Videos in the Wild. - Dasara Shullani; Omar Al Shaya; Massimo Iuliani; Marco Fontani; Alessandro Piva (TIWDC, 2017)

A Hybrid Approach to Video Source Identification. - Massimo Iuliani; Marco Fontani; Dasara Shullani; Alessandro Piva (CoRR, 2017)

VISION: a video and image dataset for source identification. - Dasara Shullani; Marco Fontani; Massimo Iuliani; Omar Al Shaya; Alessandro Piva (EURASIP J. Inf. Secur., 2017)

Hybrid reference-based Video Source Identification. - Massimo Iuliani; Marco Fontani; Dasara Shullani; Alessandro Piva (Sensors, 2019)

A Video Forensic Framework for the Unsupervised Analysis of MP4-Like File Container. - Massimo Iuliani; Dasara Shullani; Marco Fontani; Saverio Meucci; Alessandro Piva (IEEE Trans. Inf. Forensics Secur., 2019)

Efficient Video Integrity Analysis Through Container Characterization. - Pengpeng Yang 001; Daniele Baracchi; Massimo Iuliani; Dasara Shullani; Rongrong Ni; Yao Zhao 001; Alessandro Piva (IEEE J. Sel. Top. Signal Process., 2020)

Video Integrity Verification and GOP Size Estimation Via Generalized Variation of Prediction Footprint. - David Vázquez-Padín; Marco Fontani; Dasara Shullani; Fernando Pérez-González; Alessandro Piva; Mauro Barni (IEEE Trans. Inf. Forensics Secur., 2020)

Camera Obscura: Exploiting in-camera processing for image counter forensics. - Daniele Baracchi; Dasara Shullani; Massimo Iuliani; Damiano Giani; Alessandro Piva (Digit. Investig., 2021)

Social Network Identification of Laundered Videos Based on DCT Coefficient Analysis. - Dasara Shullani; Daniele Baracchi; Massimo Iuliani; Alessandro Piva (IEEE Signal Process. Lett., 2022)

Towards Continual Social Network Identification. - Simone Magistri; Daniele Baracchi; Dasara Shullani; Andrew D. Bagdanov; Alessandro Piva (IWBF, 2023)

FloreView: An Image and Video Dataset for Forensic Analysis. - Daniele Baracchi; Dasara Shullani; Massimo Iuliani; Alessandro Piva (IEEE Access, 2023)

A Codec-Based Approach for Video Life-Cycle Characterization in Social Networks. - Giulia Bertazzini; Daniele Baracchi; Dasara Shullani; Massimo Iuliani; Alessandro Piva (ICASSP, 2024)

Structure Matters: Analyzing Videos Via Graph Neural Networks for Social Media Platform Attribution. - Andrea Gemelli; Dasara Shullani; Daniele Baracchi; Simone Marinai; Alessandro Piva (ICASSP, 2024)

Beyond the Brush: Fully-automated Crafting of Realistic Inpainted Images. - Giulia Bertazzini; Chiara Albisani; Daniele Baracchi; Dasara Shullani; Alessandro Piva (WIFS, 2024)

Tiny Autoencoders are Effective Few-Shot Generative Model Detectors. - Luca Bindini; Giulia Bertazzini; Daniele Baracchi; Dasara Shullani; Paolo Frasconi; Alessandro Piva (WIFS, 2024)

Toward Open-World Multimedia Forensics Through Media Signature Encoding. - Daniele Baracchi; Giulia Boato; Francesco G. B. De Natale; Massimo Iuliani; Andrea Montibeller; Cecilia Pasquini; Alessandro Piva; Dasara Shullani (IEEE Access, 2024)

Uncovering the authorship: Linking media content to social user profiles. - Daniele Baracchi; Dasara Shullani; Massimo Iuliani; Damiano Giani; Alessandro Piva (Pattern Recognit. Lett., 2024)

Continual learning for adaptive social network identification. - Simone Magistri; Daniele Baracchi; Dasara Shullani; Andrew D. Bagdanov; Alessandro Piva (Pattern Recognit. Lett., 2024)

CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos. - Giulia Bertazzini; Daniele Baracchi; Dasara Shullani; Massimo Iuliani; Alessandro Piva (EURASIP J. Inf. Secur., 2024)

ForensiCam-215K: A Large Scale Image and Video Dataset for Forensic Analysis. - Suwen Du; Pengpeng Yang 001; Daniele Baracchi; Jinglian Jin; Dasara Shullani; Alessandro Piva (ICASSP, 2025)

Deepfake audio detection with spectral features and ResNeXt-based architecture. - Gul Tahaoglu; Daniele Baracchi; Dasara Shullani; Massimo Iuliani; Alessandro Piva (Knowl. Based Syst., 2025)

DRAGON: A Large-Scale Dataset of Realistic Images Generated by Diffusion Models. - Giulia Bertazzini; Daniele Baracchi; Dasara Shullani; Isao Echizen; Alessandro Piva (CoRR, 2025)

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation. - Giulia Bertazzini; Chiara Albisani; Daniele Baracchi; Dasara Shullani; Roberto Verdecchia (CoRR, 2025)

Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation. - Andrea Montibeller; Dasara Shullani; Daniele Baracchi; Alessandro Piva; Giulia Boato (CoRR, 2025)