68 citations
- Centre National de la Recherche ScientifiqueFR3 papers
- CY Cergy Paris UniversitéFR2 papers
- Département d'InformatiqueFR2 papers
- École Nationale Supérieure de l'Électronique et de ses ApplicationsFR2 papers
- Equipes Traitement de l'Information et SystèmesFR2 papers
- Université Paris Sciences et LettresFR2 papers
- Animal, Santé, Territoires, Risques et EcosystèmesFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Direction de la Recherche TechnologiqueFR1 paper
- École des Officiers de la Gendarmerie NationaleFR1 paper
- École Normale Supérieure - PSLFR1 paper
- ESPCI ParisFR1 paper
5 papers
Evaluation of distance-based approaches for forensic comparison: Application to hand odor evidence
Isabelle Rivals, Cédric Sautier, Guillaume Cognon +1
The issue of distinguishing between the same-source and different-source hypotheses based on various types of traces is a generic problem in forensic science. This problem is often…
A forensic analysis of the Google Home: repairing compressed data without error correction
Hadrien Barral, Georges-Axel Jaloyan, Fabien Thomas-Brans +5
This paper provides a detailed explanation of the steps taken to extract and repair a Google Home's internal data. Starting with reverse engineering the hardware of a commercial of…
Physical Fault Injection and Side-Channel Attacks on Mobile Devices: A Comprehensive Analysis
Carlton Shepherd, Konstantinos Markantonakis, Nico van Heijningen +4
Today's mobile devices contain densely packaged system-on-chips (SoCs) with multi-core, high-frequency CPUs and complex pipelines. In parallel, sophisticated SoC-assisted security…
DIABLO: Dictionary-based Attention Block for Deep Metric Learning
Pierre Jacob, David Picard, Aymeric Histace +1
Recent breakthroughs in representation learning of unseen classes and examples have been made in deep metric learning by training at the same time the image representations and a c…
Leveraging Implicit Spatial Information in Global Features for Image Retrieval
Pierre Jacob, David Picard, Aymeric Histace +1
Most image retrieval methods use global features that aggregate local distinctive patterns into a single representation. However, the aggregation process destroys the relative spat…