Syed Sha Qutub

18 papers A 2B 2Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BlueGlass: A Framework for Composite AI Safety. CoRR Harshal Nandigramwar, Syed Sha Qutub, Kay-Ulrich Scholl
2025	J	`jnl`	Investigating the Robustness of Retrieval-Augmented Generation at the Query Level. CoRR Sezen Perçin, Xin Su, Syed Sha Qutub, Phillip Howard, Aleksei Kuvshinov, Leo Schwinn, Kay-Ulrich Scholl
2024	—	`conf`	Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. AISafety@IJCAI Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll
2024	J	`jnl`	Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. CoRR Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll
2024	—	`conf`	Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. CVPR Workshops Syed Sha Qutub, Michael Paulitsch, Kay-Ulrich Scholl, Neslihan Köse Cihangir, Korbinian Hagn, Fabian Oboril, Gereon Hinz, Alois Knoll
2024	J	`jnl`	Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. CoRR Syed Sha Qutub, Michael Paulitsch, Korbinian Hagn, Neslihan Köse Cihangir, Kay-Ulrich Scholl, Fabian Oboril, Gereon Hinz, Alois Knoll
2023	B	`conf`	A Low-Cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks. SAFECOMP Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman
2023	J	`jnl`	A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks. CoRR Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman
2023	A	`conf`	BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. BMVC Syed Sha Qutub, Neslihan Köse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll
2023	J	`jnl`	BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. CoRR Syed Sha Qutub, Neslihan Kose, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois Knoll
2023	J	`jnl`	Large-Scale Application of Fault Injection into PyTorch Models - an Extension to PyTorchFI for Validation Efficiency. CoRR Ralf Gräfe, Syed Sha Qutub, Florian Geissler, Michael Paulitsch
2023	—	`conf`	Large-Scale Application of Fault Injection into PyTorch Models -an Extension to PyTorchFI for Validation Efficiency. DSN-S Ralf Gräfe, Syed Sha Qutub, Florian Geissler, Michael Paulitsch
2023	A	`conf`	Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. SC Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman
2022	B	`conf`	Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs. SAFECOMP Syed Sha Qutub, Florian Geissler, Yang Peng, Ralf Gräfe, Michael Paulitsch, Gereon Hinz, Alois C. Knoll
2022	J	`jnl`	Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs. CoRR Syed Sha Qutub, Florian Geissler, Yang Peng, Ralf Gräfe, Michael Paulitsch, Gereon Hinz, Alois C. Knoll
2021	—	`conf`	Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. AISafety@IJCAI Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch
2021	J	`jnl`	Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. CoRR Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch
2020	—	`conf`	DNN Analysis through Synthetic Data Variation. CSCS Syed Sha Qutub, Oliver Grau, Korbinian Hagn