activity
20082023
most citedCNN Based Adversarial Embedding with Minimum Alteration for Image Steganography

290 citations · 670 across the 44 of their papers we have counts for

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Showing cs.CRShow all

19 papers · 1 filter

cs.CR2023

Information Forensics and Security: A quarter-century-long journey

Mauro Barni, Patrizio Campisi, Edward J. Delp +7

Information Forensics and Security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to fac…

cs.CR2022★ 1 cited

CycleGANWM: A CycleGAN watermarking method for ownership verification

Dongdong Lin, Benedetta Tondi, Bin Li +1

Due to the proliferation and widespread use of deep neural networks (DNN), their Intellectual Property Rights (IPR) protection has become increasingly important. This paper present…

cs.CR2021★ 5 cited

An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences

Wei Guo, Benedetta Tondi, Mauro Barni

Together with impressive advances touching every aspect of our society, AI technology based on Deep Neural Networks (DNN) is bringing increasing security concerns. While attacks op…

cs.CR2021★ 3 cited

Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge

Weixuan Tang, Bin Li, Mauro Barni +2

Although significant progress in automatic learning of steganographic cost has been achieved recently, existing methods designed for spatial images are not well applicable to JPEG…

cs.CR2021★ 3 cited

A survey of deep neural network watermarking techniques

Yue Li, Hongxia Wang, Mauro Barni

Protecting the Intellectual Property Rights (IPR) associated to Deep Neural Networks (DNNs) is a pressing need pushed by the high costs required to train such networks and the impo…

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…