2 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
A Game-Theoretic Approach for Adversarial Information Fusion in Distributed Sensor Networks
Kassem Kallas
Every day we share our personal information through digital systems which are constantly exposed to threats. For this reason, security-oriented disciplines of signal processing hav…
Mixer: DNN Watermarking using Image Mixup
Kassem Kallas, Teddy Furon
It is crucial to protect the intellectual property rights of DNN models prior to their deployment. The DNN should perform two main tasks: its primary task and watermarking task. Th…
ROSE: A RObust and SEcure DNN Watermarking
Kassem Kallas, Teddy Furon
Protecting the Intellectual Property rights of DNN models is of primary importance prior to their deployment. So far, the proposed methods either necessitate changes to internal mo…
A new Backdoor Attack in CNNs by training set corruption without label poisoning
Mauro Barni, Kassem Kallas, Benedetta Tondi
Backdoor attacks against CNNs represent a new threat against deep learning systems, due to the possibility of corrupting the training set so to induce an incorrect behaviour at tes…
On the Transferability of Adversarial Examples Against CNN-Based Image Forensics
Mauro Barni, Kassem Kallas, Ehsan Nowroozi +1
Recent studies have shown that Convolutional Neural Networks (CNN) are relatively easy to attack through the generation of so-called adversarial examples. Such vulnerability also a…