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nn-dependability-kit: Engineering Neural Networks for Safety-Critical
  Autonomous Driving Systems
v1v2 (latest)

nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving Systems

16 November 2018
Chih-Hong Cheng
Chung-Hao Huang
Georg Nührenberg
ArXiv (abs)PDFHTML

Papers citing "nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving Systems"

3 / 3 papers shown
Title
Organization of machine learning based product development as per ISO
  26262 and ISO/PAS 21448
Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448
Krystian Radlak
Michal Szczepankiewicz
Tim Jones
Piotr Serwa
29
1
0
07 Oct 2019
Formal methods and software engineering for DL. Security, safety and
  productivity for DL systems development
Formal methods and software engineering for DL. Security, safety and productivity for DL systems development
Gaétan Hains
Arvid Jakobsson
Y. Khmelevsky
AI4CE
47
3
0
31 Jan 2019
A Survey of Safety and Trustworthiness of Deep Neural Networks:
  Verification, Testing, Adversarial Attack and Defence, and Interpretability
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability
Xiaowei Huang
Daniel Kroening
Wenjie Ruan
Marta Kwiatkowska
Youcheng Sun
Emese Thamo
Min Wu
Xinping Yi
AAML
130
51
0
18 Dec 2018
1