ROBIN – Robust Machine Learning
Title: ROBIN – Robust Machine Learning
Partner: armasuisse
EPFL Laboratory: Signal Processing Laboratory (LTS4)
Description: Adversarial machine learning and robustness
Title: ROBIN – Robust Machine Learning
Partner: armasuisse
EPFL Laboratory: Signal Processing Laboratory (LTS4)
Description: Adversarial machine learning and robustness
Title: Mobility Insights project
Partner: Swisscom
EPFL Laboratory: Security and Privacy Engineering Lab (SPRING)
Description: adversarial study on Swisscom’s Mobility Insights platform. Publication in journal “eletrosense” on 1st of August 2020
Title: securing ACARs communication
Partner: armasuisse
EPFL Laboratory: Security and Privacy Engineering Lab (SPRING)
Description:
Title: onChain secrets implementation
Partner: Byzgen
EPFL Laboratory: Decentralized Distributed Systems Laboratory (DEDIS)
ByzGen provide a backend platform (Falkor) that enhances applications and processes, allowing our clients to meet the increasing requirement for data to be shared securely and effectively across boundaries and organisations.
Covata, a leading Data Management business with a substantial presence in Australian Government, have successfully integrated Falkor with their Security application. The integration will further enhance their capability to support cross-organisation collaboration utilising sensitive data, enabling their clients to implement trust and bridge historic data silos.
A key component of the Falkor platform is the onChain secrets service, provided by C4DT-affiliated DEDIS laboratory, which can be used to re-encrypt the most sensitive of data and ensure that any reads to that data are validated, via a distributed and consensus driven decryption process.