36 citations · 46 across the 5 of their papers we have counts for
5 papers
Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation
Andrea Montibeller, Dasara Shullani, Daniele Baracchi +2
The growing presence of AI-generated videos on social networks poses new challenges for deepfake detection, as detectors trained under controlled conditions often fail to generaliz…
The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation
Giulia Bertazzini, Chiara Albisani, Daniele Baracchi +2
With the growing adoption of AI image generation, in conjunction with the ever-increasing environmental resources demanded by AI, we are urged to answer a fundamental question: Wha…
DRAGON: A Large-Scale Dataset of Realistic Images Generated by Diffusion Models
Giulia Bertazzini, Daniele Baracchi, Dasara Shullani +2
The remarkable ease of use of diffusion models for image generation has led to a proliferation of synthetic content online. While these models are often employed for legitimate pur…
Efficient video integrity analysis through container characterization
Pengpeng Yang, Daniele Baracchi, Massimo Iuliani +4
Most video forensic techniques look for traces within the data stream that are, however, mostly ineffective when dealing with strongly compressed or low resolution videos. Recent r…
A Hybrid Approach to Video Source Identification
Massimo Iuliani, Marco Fontani, Dasara Shullani +1
Multimedia Forensics allows to determine whether videos or images have been captured with the same device, and thus, eventually, by the same person. Currently, the most promising t…