7 citations · 25 across the 5 of their papers we have counts for
5 papers
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks
Yi Zeng, Han Qiu, Gerard Memmi +1
Deep Neural Networks (DNNs) in Computer Vision (CV) are well-known to be vulnerable to Adversarial Examples (AEs), namely imperceptible perturbations added maliciously to cause wro…
Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems
Han Qiu, Meikang Qiu, Meiqin Liu +1
The recent spades of cyber security attacks have compromised end users' data safety and privacy in Medical Cyber-Physical Systems (MCPS). Traditional standard encryption algorithms…
Asymptotic Performance Analysis of Blockchain Protocols
Antoine Durand, Elyes Ben-Hamida, David Leporini +1
In the light of the recent fame of Blockchain technologies, numerous proposals and projects aiming at better practical viability have emerged. However, formally assessing their par…
Multi-hop Data Fragmentation in Unattended Wireless Sensor Networks
Keun-Woo Lim, Katarzyna Kapusta, Gerard Memmi +1
In this work, we analyze the advantages of multi-hop data fragmentation in unattended wireless sensor networks (UWSN) and propose a lightweight protocol to achieve it. UWSN has rec…
Modeling the Temperature Bias of Power Consumption for Nanometer-Scale CPUs in Application Processors
Karel De Vogeleer, Gerard Memmi, Pierre Jouvelot +1
We introduce and experimentally validate a new macro-level model of the CPU temperature/power relationship within nanometer-scale application processors or system-on-chips. By adop…