2 citations · 2 across the 5 of their papers we have counts for
8 papers
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…
TriniMark: A Robust Generative Speech Watermarking Method for Trinity-Level Traceability
Yue Li, Weizhi Liu, Kaiqing Lin +2
Diffusion-based speech generation has achieved remarkable fidelity, increasing the risk of misuse and unauthorized redistribution. However, most existing generative speech watermar…
Energy Backdoor Attack to Deep Neural Networks
Hanene F. Z. Brachemi Meftah, Wassim Hamidouche, Sid Ahmed Fezza +2
The rise of deep learning (DL) has increased computing complexity and energy use, prompting the adoption of application specific integrated circuits (ASICs) for energy-efficient ed…
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks
Kassem Kallas
This paper introduces a deep learning-based framework for resilient decision fusion in adversarial multi-sensor networks, providing a unified mathematical setup that encompasses di…
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…
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…