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20132022
most citedAligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

227 citations · 241 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CV20223 cited

An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images

Lydia Abady, Edoardo Daniele Cannas, Paolo Bestagini +3

Due to the reduction of technological costs and the increase of satellites launches, satellite images are becoming more popular and easier to obtain. Besides serving benevolent pur…

cs.CV20221 cited

Supervised GAN Watermarking for Intellectual Property Protection

Jianwei Fei, Zhihua Xia, Benedetta Tondi +1

We propose a watermarking method for protecting the Intellectual Property (IP) of Generative Adversarial Networks (GANs). The aim is to watermark the GAN model so that any image ge…

cs.CV2022

An Architecture for the detection of GAN-generated Flood Images with Localization Capabilities

Jun Wang, Omran Alamayreh, Benedetta Tondi +1

In this paper, we address a new image forensics task, namely the detection of fake flood images generated by ClimateGAN architecture. We do so by proposing a hybrid deep learning a…

cs.CV2021

A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification

Wei Guo, Benedetta Tondi, Mauro Barni

We introduce a new attack against face verification systems based on Deep Neural Networks (DNN). The attack relies on the introduction into the network of a hidden backdoor, whose…

cs.CV2020

Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture

Benedetta Tondi, Andrea Costranzo, Dequ Huang +1

Estimating the primary quantization matrix of double JPEG compressed images is a problem of relevant importance in image forensics since it allows to infer important information ab…

cs.CV2020

CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis

Mauro Barni, Kassem Kallas, Ehsan Nowroozi +1

Last-generation GAN models allow to generate synthetic images which are visually indistinguishable from natural ones, raising the need to develop tools to distinguish fake and natu…