Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs

7 September 2022

Papers citing "Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs"

5 / 5 papers shown

Title
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models Qutub Syed Sha Michael Paulitsch Karthik Pattabiraman Korbinian Hagn Fabian Oboril Cornelius Buerkle Kay-Ulrich Scholl Gereon Hinz Alois C. Knoll 29 0 0 05 Jun 2024
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks Florian Geissler S. Qutub Michael Paulitsch Karthik Pattabiraman 21 5 0 31 Oct 2023
Large-Scale Application of Fault Injection into PyTorch Models -- an Extension to PyTorchFI for Validation Efficiency Ralf Gräfe S. Qutub Florian Geissler Michael Paulitsch 6 3 0 30 Oct 2023
Runtime Monitoring DNN-Based Perception Chih-Hong Cheng Michael Luttenberger Rongjie Yan 19 1 0 06 Oct 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 11 3 0 14 Sep 2023