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20132021
most citedAdversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability

7 citations · 10 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CR20217 cited

Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability

Bilel Tarchoun, Ihsen Alouani, Anouar Ben Khalifa +1

While machine learning applications are getting mainstream owing to a demonstrated efficiency in solving complex problems, they suffer from inherent vulnerability to adversarial at…

eess.IV2021

StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis

Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik

Synthesizing multimodality medical data provides complementary knowledge and helps doctors make precise clinical decisions. Although promising, existing multimodal brain graph synt…

q-bio.NC2021

A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint

Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub +4

Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analys…

q-bio.NC2021

Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping

Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub +1

Brain graph synthesis marked a new era for predicting a target brain graph from a source one without incurring the high acquisition cost and processing time of neuroimaging data. H…

cs.LG2021

Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network

Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik

Brain graphs (i.e, connectomes) constructed from medical scans such as magnetic resonance imaging (MRI) have become increasingly important tools to characterize the abnormal change…

eess.SP2021

Towards New Multiwavelets: Associated Filters and Algorithms. Part I: Theoretical Framework and Investigation of Biomedical Signals, ECG and Coronavirus Cases

Malika Jallouli, Makerem Zemni, Anouar Ben Mabrouk +1

Biosignals are nowadays important subjects for scientific researches from both theory and applications especially with the appearance of new pandemics threatening humanity such as…