Alexander Binder

Computer Science · Physical Sciences

26h-index11.4kcitations135works2.72yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(26), Explainable Artificial Intelligence (XAI)(23), Adversarial Robustness in Machine Learning(20), Anomaly Detection Techniques and Applications(19), Advanced Neural Network Applications(18)

Publications122 total

Value bounds and Convergence Analysis for Averages of LRP attributions
arXiv (Cornell University)·2025Open Access
Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment
arXiv (Cornell University)·2025Open Access
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
arXiv (Cornell University)·2024Open Access
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
2024
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
arXiv (Cornell University)·2023· 1 citedOpen Access
Optimizing Explanations by Network Canonization and Hyperparameter Search
2023· 4 citedOpen Access
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
2023· 18 citedOpen Access
Optimizing Explanations by Network Canonization and Hyperparameter Search
arXiv (Cornell University)·2022Open Access
Beyond explaining: Opportunities and challenges of XAI-based model improvement
Information Fusion·2022Open Access
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
arXiv (Cornell University)·2022· 1 citedOpen Access
To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy
PLoS ONE·2022· 6 citedOpen Access
Discovering Transferable Forensic Features for CNN-generated Images Detection
arXiv (Cornell University)·2022· 2 citedOpen Access
Deep-learning based classification of ice crystals: habits and mircophysical processes
2022· 2 citedOpen Access
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
arXiv (Cornell University)·2022· 10 citedOpen Access
Discovering Transferable Forensic Features for CNN-Generated Images Detection
Lecture notes in computer science·2022· 21 citedOpen Access
Mehr Momentum für Momentum
2022
Towards A Conceptually Simple Defensive Approach for Few-shot\n classifiers Against Adversarial Support Samples
arXiv (Cornell University)·2021Open Access
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
arXiv (Cornell University)·2021Open Access
Explain and improve: LRP-inference fine-tuning for image captioning models
Information Fusion·2021· 34 citedOpen Access
On the Robustness of Pretraining and Self-Supervision for a Deep\n Learning-based Analysis of Diabetic Retinopathy
arXiv (Cornell University)·2021· 6 citedOpen Access
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Frequent Co-authors

Klaus‐Robert Müller(24), Wojciech Samek(24), Sebastian Lapuschkin(17), Grégoire Montavon(13), Marius Kloft(8), Motoaki Kawanabe(7), Frederick Klauschen(5), Sebastian Bach(4), Michael Bockmayr(4), Jiamei Sun(4), Philipp Seegerer(3), Miriam Hägele(3), Stephan Wienert(3), Carsten Denkert(3), Ngai‐Man Cheung(3), Yunwen Lei(3), Ürün Doǧan(3), Leander Weber(3), Lukas Ruff(2), Robert A. Vandermeulen(2)