57 citations
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH6 papers
- ETH ZurichCH5 papers
- Haute Ecole Arc IngénierieCH4 papers
- Integrated Systems LaboratoryCH4 papers
- University of NeuchâtelCH3 papers
- ARM (United Kingdom)GB1 paper
- Dublin City UniversityIE1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- FHNW University of Applied Sciences and Arts Northwestern SwitzerlandCH1 paper
- Indian Institute of Technology KanpurIN1 paper
- KTH Royal Institute of TechnologySE1 paper
- Laboratoire d'Informatique de GrenobleFR1 paper
11 papers
Deep learning approach for identification of HII regions during reionization in 21-cm observations -- III. image recovery
Michele Bianco, Sambit. K. Giri, Rohit Sharma +7
The low-frequency component of the upcoming Square Kilometre Array Observatory (SKA-Low) will be sensitive enough to construct 3D tomographic images of the 21-cm signal distributio…
Fortress: Securing IoT Peripherals with Trusted Execution Environments
Peterson Yuhala, Jämes Ménétrey, Pascal Felber +2
With the increasing popularity of Internet of Things (IoT) devices, securing sensitive user data has emerged as a major challenge. These devices often collect confidential informat…
Preventing EFail Attacks with Client-Side WebAssembly: The Case of Swiss Post's IncaMail
Pascal Gerig, Jämes Ménétrey, Baptiste Lanoix +4
Traditional email encryption schemes are vulnerable to EFail attacks, which exploit the lack of message authentication by manipulating ciphertexts and exfiltrating plaintext via HT…
WebAssembly as a Common Layer for the Cloud-edge Continuum
Jämes Ménétrey, Marcelo Pasin, Pascal Felber +1
Over the last decade, the cloud computing landscape has transformed from a centralised architecture made of large data centres to a distributed and heterogeneous architecture embra…
What motivates people to telework? Exploratory study in a post-confinement context
Steve Berberat, Damien Rosat, Armand Kouadio
After the considerable excitement caused by COVID-19 and the first telework measures, many management issues became apparent and some questions quickly arose, especially about effi…
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado, Manuele Rusci, Romain Donze +4
Standard-size autonomous navigation vehicles have rapidly improved thanks to the breakthroughs of deep learning. However, scaling autonomous driving to low-power systems deployed o…