activity
20132026
most citedAligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

227 citations · 341 across the 46 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CR2020★ 4 cited

Spread-Transform Dither Modulation Watermarking of Deep Neural Network

Yue Li, Benedetta Tondi, Mauro Barni

DNN watermarking is receiving an increasing attention as a suitable mean to protect the Intellectual Property Rights associated to DNN models. Several methods proposed so far are i…

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…

cs.CV2020

Increased-confidence adversarial examples for deep learning counter-forensics

Wenjie Li, Benedetta Tondi, Rongrong Ni +1

Transferability of adversarial examples is a key issue to apply this kind of attacks against multimedia forensics (MMF) techniques based on Deep Learning (DL) in a real-life settin…

cs.CR2020★ 1 cited

Challenging the adversarial robustness of DNNs based on error-correcting output codes

Bowen Zhang, Benedetta Tondi, Xixiang Lv +1

The existence of adversarial examples and the easiness with which they can be generated raise several security concerns with regard to deep learning systems, pushing researchers to…