Syed Sha Qutub

According to our database, Syed Sha Qutub authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults.

Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman

Proceedings of the International Conference for High Performance Computing, 2023

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

Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman

Proceedings of the Computer Safety, Reliability, and Security, 2023

Large-Scale Application of Fault Injection into PyTorch Models -an Extension to PyTorchFI for Validation Efficiency.

Ralf Gräfe, Syed Sha Qutub, Florian Geissler, Michael Paulitsch

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture.

Syed Sha Qutub, Neslihan Köse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs.

Syed Sha Qutub, Florian Geissler, Yang Peng, Ralf Gräfe, Michael Paulitsch, Gereon Hinz, Alois C. Knoll

Proceedings of the Computer Safety, Reliability, and Security, 2022

2021

Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision.

Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch

Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

2020

DNN Analysis through Synthetic Data Variation.

Syed Sha Qutub, Oliver Grau, Korbinian Hagn

Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020