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20202026
most citedFighting Deepfake by Exposing the Convolutional Traces on Images

154 citations · 374 across the 25 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 31 cited

GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions

Mirko Casu, Luca Guarnera, Pasquale Caponnetto +1

This paper examines the impact of cognitive biases on decision-making in forensics and digital forensics, exploring biases such as confirmation bias, anchoring bias, and hindsight…

cs.CV2023

Innovative Methods for Non-Destructive Inspection of Handwritten Documents

Eleonora Breci, Luca Guarnera, Sebastiano Battiato

Handwritten document analysis is an area of forensic science, with the goal of establishing authorship of documents through examination of inherent characteristics. Law enforcement…

cs.CV2023

Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis

Luca Guarnera, Salvatore Manganello, Sebastiano Battiato

A new algorithm for the detection of deepfakes in digital videos is presented. The I-frames were extracted in order to provide faster computation and analysis than approaches descr…

cs.CV2023

Not with my name! Inferring artists' names of input strings employed by Diffusion Models

Roberto Leotta, Oliver Giudice, Luca Guarnera +1

Diffusion Models (DM) are highly effective at generating realistic, high-quality images. However, these models lack creativity and merely compose outputs based on their training da…

cs.CV2023★ 4 cited

Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models

Luca Guarnera, Oliver Giudice, Sebastiano Battiato

The image deepfake detection task has been greatly addressed by the scientific community to discriminate real images from those generated by Artificial Intelligence (AI) models: a…