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Computer Safety, Reliability, and Security

Overview of attention for book
Cover of 'Computer Safety, Reliability, and Security'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Analysing the Safety of Decision-Making in Autonomous Systems
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    Chapter 2 BayesianSafety - An Open-Source Package for Causality-Guided, Multi-model Safety Analysis
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    Chapter 3 Safety Certification with the Open Source Microkernel-Based Operating System L4Re
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    Chapter 4 Data-Driven Inference of Fault Tree Models Exploiting Symmetry and Modularization
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    Chapter 5 ARACHNE: Automated Validation of Assurance Cases with Stochastic Contract Networks
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    Chapter 6 Automating Pattern Selection for Assurance Case Development for Cyber-Physical Systems
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    Chapter 7 Generating Assurance Cases Using Workflow $$^+$$ + Models
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    Chapter 8 Uncertainty Elicitation and Propagation in GSN Models of Assurance Cases
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    Chapter 9 Impact of Machine Learning on Safety Monitors
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    Chapter 10 Comprehensive Analysis of Software-Based Fault Tolerance with Arithmetic Coding for Performant Encoding of Integer Calculations
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    Chapter 11 STPA-Driven Multilevel Runtime Monitoring for In-Time Hazard Detection
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    Chapter 12 Proposal of Cybersecurity and Safety Co-engineering Approaches on Cyber-Physical Systems
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    Chapter 13 On the Feasibility and Performance of Secure OPC UA Communication with IIoT Devices
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    Chapter 14 SailFAIL : Model-Derived Simulation-Assisted ISA-Level Fault-Injection Platforms
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    Chapter 15 Quality of Fault Injection Strategies on Hardware Accelerator
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    Chapter 16 Assessment of the Impact of U-space Faulty Conditions on Drones Conflict Rate
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    Chapter 17 ACTOR: Accelerating Fault Injection Campaigns Using Timeout Detection Based on Autocorrelation
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    Chapter 18 Formally Compensating Performance Limitations for Imprecise 2D Object Detection
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    Chapter 19 Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception
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    Chapter 20 Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs
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    Chapter 21 Application of STPA for the Elicitation of Safety Requirements for a Machine Learning-Based Perception Component in Automotive
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    Chapter 22 Exploring a Maximal Number of Relevant Obstacles for Testing UAVs
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    Chapter 23 Data-Driven Assessment of Parameterized Scenarios for Autonomous Vehicles
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    Chapter 24 Optimising the Reliability that Can Be Claimed for a Software-Based System Based on Failure-Free Tests of Its Components
Attention for Chapter 20: Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Chapter title
Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs
Chapter number 20
Book title
Computer Safety, Reliability, and Security
Published in
arXiv, September 2022
DOI 10.1007/978-3-031-14835-4_20
Book ISBNs
978-3-03-114834-7, 978-3-03-114835-4
Authors

Syed Qutub, Florian Geissler, Yang Peng, Ralf Grafe, Michael Paulitsch, Gereon Hinz, Alois Knoll, Qutub, Syed, Geissler, Florian, Peng, Yang, Gräfe, Ralf, Paulitsch, Michael, Hinz, Gereon, Knoll, Alois

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Researcher 1 11%
Student > Ph. D. Student 1 11%
Unknown 5 56%
Readers by discipline Count As %
Computer Science 2 22%
Physics and Astronomy 1 11%
Engineering 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2022.
All research outputs
#14,338,684
of 24,093,053 outputs
Outputs from arXiv
#237,404
of 1,018,817 outputs
Outputs of similar age
#182,408
of 418,953 outputs
Outputs of similar age from arXiv
#8,728
of 36,650 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 418,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 36,650 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.