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Martin Nocker

Observed name: Martin, Nocker
ORCID: 0000-0002-6967-8800
Observed ORCID: 0000-0002-6967-8800
OpenAlex ID: A5030147288
HE-MAN – Homomorphically Encrypted MAchine learning with oNnx models
2023 · Martin Nocker, David Drexel, et al. · International Conference on Machine Learning Technologies (ICMLT) · 18
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Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning
2023 · Thomas Widmann, Florian Merkle, et al. · Communications in computer and information science · 17
Learning Temporal Specifications from Imperfect Traces Using Bayesian Inference
2019 · Artur Mrowca, Martin Nocker, et al. · ACM/IEEE Design Automation Conference (DAC) · 16
A Machine Learning Approach for Automated Cost Estimation of Plastic Injection Molding Parts
2023 · Florian Klocker, Reinhard Bernsteiner, et al. · Cloud Computing and Data Science · 11
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Less Is More: The Influence of Pruning on the Explainability of CNNs
2025 · Florian Merkle, David Weber, et al. · IEEE Access · 9
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples
2023 · Roland Rauter, Martin Nocker, et al. · International Conference on Machine Learning Technologies (ICMLT) · 6
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Large-Scale (Semi-)Automated Security Assessment of Consumer IoT Devices – A Roadmap
2025 · Pascal Schöttle, Matthias Janetschek, et al. · International Conference on Smart and Sustainable Technologies (SpliTech) · 2
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Protecting Privacy in IoT-Based Deep Learning: State-of-the-Art Methods and Challenges
2025 · Martin Nocker, Florian Merkle, et al. · Lecture notes in computer science · 1
Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop
2024 · Florian Merkle, Mihaela Roxana Sirbu, et al. · Lecture notes in computer science · 1
Incremental Whole Plate ALPR Under Data Availability Constraints
2024 · Markus Russold, Martin Nocker, et al. · International Conference on Pattern Recognition Applications and Methods · 1
Navigating the Trade-Off Between Explainability and Privacy
2024 · Johanna Schmidt, Verena Pietsch, et al. · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · 1
Adversarial Fine-Tuning of Vision Models for Robustness to Sensitivity- and Invariance-Based Adversarial Examples
2026 · Oberhofer, Samuel, Führer, Marius, et al. · Zenodo (CERN European Organization for Nuclear Research)
Exploring Invariance-Based Adversarial Examples: Algorithmic Generation and Human Perception
2026 · Samuel Oberhofer, Martin Nocker, et al.
Scalable Generation of Invariance-Based Adversarial Examples Using XAI
2026 · Samuel Oberhofer, Martin Nocker, et al. · Lecture notes in computer science
A Meta Device Model for Automated Security Assessment of Internet of Things Devices
2025 · Christoph Egger, Matthias Janetschek, et al. · International Conference on the Internet of Things (IoT)
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FHE ML Tuxedo: A Tailored Wrapper Architecture for Homomorphic Encryption in Machine Learning
2025 · Martin Nocker, Linus Henke, et al. · International Conference on Dependable Systems and Networks workshops
Works count: 16
Citation count: 83
H-index: 6
I10-index: 4
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