A Low-cost Strategic Monitoring Approach for Scalable and Interpretable
Error Detection in Deep Neural Networks

A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

International Conference on Computer Safety, Reliability, and Security (SAFECOMP), 2023

31 October 2023

Florian Geissler

Michael Paulitsch

Karthik Pattabiraman

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Papers citing "A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks"

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Title
Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey Albert Schotschneider Svetlana Pavlitska Johann Marius Zöllner AAML AI4CE 188 0 0 08 Nov 2025
Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach Aniket Salvi Gereon Weiss Mario Trapp 276 0 0 20 May 2025
FORTALESA: Fault-Tolerant Reconfigurable Systolic Array for DNN InferenceMicroprocessors and microsystems (MM), 2025 N. Cherezova Artur Jutman M. Jenihhin 218 2 0 06 Mar 2025
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 291 1 0 05 Jun 2024
A Flow-based Credibility Metric for Safety-critical Pedestrian Detection Maria Lyssenko C. Gladisch Christian Heinzemann Matthias Woehrle Rudolph Triebel 112 0 0 12 Feb 2024