Florian Geissler

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Demo Data from SIGIR 2026 / reviewers in the wild / expert

dblp:228/7874 · DBLP profile ↗

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5ranked-venue papers

2as first author

5since 2021 · last 2026

0000-0002-9776-9603ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 2 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems

1 paper

Hardware reliability and fault tolerance · 62% Hardware accelerators and domain-specific architectures · 38%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Hardware reliability and fault tolerance soft errors	0.7	1	2023	Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults · SC 2023
Hardware accelerators and domain-specific architectures › machine learning accelerator CNN reliability	0.2	1	2023	Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults · SC 2023
Hardware accelerators and domain-specific architectures machine learning accelerator	0.2	1	2023	Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults · SC 2023

Methods — techniques the papers use, named apart from their topics

structural coding · 0.7

Year	Publication	Venue	Position
2026	Five Measures to Counter Obscure Hazardous Failure Conditions in Foundation Model Systems: A Practical Guide for Safety Engineers Florian Geissler, Josef Jiru, Johanna Schmidhuber, Poulami Sinhamahapatra, Florian Butsch, Reinhard Stolle	SAFECOMP	1
2023	BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture Syed Sha Qutub, Neslihan Kose, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Gereon Hinz, Alois C. Knoll	BMVC	6
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	SAFECOMP	1
2023	Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults abstract The advent of High-Performance Computing has led to the adoption of Convolutional Neural Networks (CNNs) in safety-critical applications such as autonomous vehicles. However, CNNs are vulnerable to DRAM errors corrupting their parameters, thereby degrading their accuracy. Existing techniques for protecting CNNs from DRAM errors are either expensive or fail to protect from large-granularity, multi-bit errors, which occur commonly in DRAMs. Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman	SC	2
2022	Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs Syed Sha Qutub, Florian Geissler, Ralf Gräfe, Michael Paulitsch, Gereon Hinz, Alois C. Knoll	SAFECOMP	2