SECREDAS focused on protecting against malicious intrusions into autonomous driving that would put road users at risk.

The customer

The challenge

Project duration: 01.05.2018 - 31.10.2021 | Website: secredas-project.eu

The SECREDAS project, a collaboration of more than 70 organizations, completed its technical work in October 2021. During its three-year duration, the project involved security and privacy experts in developing integrated security and privacy solutions for automated and autonomous systems.

The aim of the research project was to protect future autonomous driving from external malicious interference or hacking attacks that could put vehicle occupants or other road users at risk. To achieve this, SECREDAS created a common reference framework for security and privacy that allowed technology solutions to be designed, developed, and tested that addressed both of these areas simultaneously. The results were successfully tested in a series of realistic driving scenarios on the road and in the presence of threats from hackers and vulnerabilities. The project included both new security features in rail applications and health monitoring applications.

Solution

Results & effects

Merantix Momentum developed algorithms that enable robust image segmentation and provided evidence that model ensembling is promising. Merantix Momentum also designed and implemented a test framework for model evaluation. To demonstrate the system in a vehicle, we developed an algorithm to detect attacks on the live image stream from on-board cameras.

05/21

Publication of the paper "Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs" in (ed.) INFORMATIK 2021. Gesellschaft für Informatik, Bonn (pp. 1185-1191).

05/21

Publication of the paper "DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows."

01/22

Publication of the workshop paper "Auto-Compressing Subset Pruning for Semantic Image Segmentation" at GCPR 2022.

Overview

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  • Development of guidance for reliable implementation
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Contact us

  • Critical and holistic evaluation of the approach
  • Development of guidance for reliable implementation
  • Free of charge and without obligation
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
We would like to get to know you!

Start your AI journey with us now

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