Alexander Binder

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 72

Top Venues

CoRR

IJCNN

ICPR

IEEE Symposium on Security and Privacy Workshops

Berlin Institute of Technology (PHD)

Education History

Berlin Institute of Technology

PHD

Publications

Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR (2023)
Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Layer-wise Feedback Propagation. CoRR (2023)
Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Optimizing Explanations by Network Canonization and Hyperparameter Search. CVPR Workshops (2023)
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
Beyond explaining: Opportunities and challenges of XAI-based model improvement. Inf. Fusion 92 (2023)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CoRR (2022)
Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Optimizing Explanations by Network Canonization and Hyperparameter Search. CoRR (2022)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
Discovering Transferable Forensic Features for CNN-Generated Images Detection. ECCV (15) (2022)
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement. CoRR (2022)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Explain and improve: LRP-inference fine-tuning for image captioning models. Inf. Fusion 77 (2022)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
Discovering Transferable Forensic Features for CNN-generated Images Detection. CoRR (2022)
Penny Chong, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
Toward Scalable and Unified Example-Based Explanation and Outlier Detection. IEEE Trans. Image Process. 31 (2022)
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. 115 (2021)
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR (2021)
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR (2021)
Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen
Morphological and molecular breast cancer profiling through explainable machine learning. Nat. Mach. Intell. 3 (4) (2021)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Understanding Image Captioning Models beyond Visualizing Attention. CoRR (2020)
Ivan Homoliak, Dominik Breitenbacher, Ondrej Hujnak, Pieter H. Hartel, Alexander Binder, Pawel Szalachowski
SmartOTPs: An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. AFT (2020)
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN (2020)
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. CoRR (2020)
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. CoRR (2020)
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Towards Best Practice in Explaining Neural Network Decisions with LRP. IJCNN (2020)
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR (2020)
Penny Chong, Yuval Elovici, Alexander Binder
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Lin Geng Foo, Alexander Binder
Lymphocyte counting - Error Analysis of Regression versus Bounding Box Detection Approaches. CoRR (2020)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
Explanation-Guided Training for Cross-Domain Few-Shot Classification. CoRR (2020)
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. CoRR (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. ICLR (2020)
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. ICPR (2020)
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. ECCV (24) (2020)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR (2020)
Penny Chong, Yuval Elovici, Alexander Binder
Deja vu from the SVM Era: Example-based Explanations with Outlier Detection. CoRR (2020)
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. ICPR (2020)
Lucas Y. W. Hui, Alexander Binder
BatchNorm Decomposition for Deep Neural Network Interpretation. IWANN (2) (2019)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. CoRR (2019)
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks. CoRR (2019)
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. CoRR (2019)
Jiamei Sun, Alexander Binder
Generalized PatternAttribution for Neural Networks with Sigmoid Activations. IJCNN (2019)
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. CoRR (2019)
Lei Shi, Zhiyang Teng, Le Wang, Yue Zhang, Alexander Binder
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. IJCNN (2019)
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR (2019)
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Towards best practice in explaining neural network decisions with LRP. CoRR (2019)
Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. CoRR (2018)
Ivan Homoliak, Dominik Breitenbacher, Alexander Binder, Pawel Szalachowski
An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. CoRR (2018)
Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. ECCV (8) (2018)
Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
Deep One-Class Classification. ICML (2018)
Soumik Mondal, Athul Harilal, Alexander Binder
Corplab INLI@FIRE-2018: Identification of Indian Native Language using Pairwise Coupling. FIRE (Working Notes) (2018)
Flavio Toffalini, Ivan Homoliak, Athul Harilal, Alexander Binder, Martín Ochoa
Detection of Masqueraders Based on Graph Partitioning of File System Access Events. IEEE Symposium on Security and Privacy Workshops (2018)
Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder
Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? IEEE Symposium on Security and Privacy Workshops (2018)
Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
Understanding and Comparing Deep Neural Networks for Age and Gender Classification. ICCV Workshops (2017)
Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan, Alexander Binder
ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission. CLEF (Working Notes) (2017)
Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
Object Boundary Detection and Classification with Image-Level Labels. GCPR (2017)
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
Understanding and Comparing Deep Neural Networks for Age and Gender Classification. CoRR (2017)
Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
Explaining nonlinear classification decisions with deep Taylor decomposition. Pattern Recognit. 65 (2017)
Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller
Evaluating the Visualization of What a Deep Neural Network Has Learned. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CVPR (2016)
Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller, Wojciech Samek
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers. CoRR (2016)
Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth. CoRR (2016)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Localized Multiple Kernel Learning - A Convex Approach. ACML (2016)
Wojciech Samek, Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation. CoRR (2016)
Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. ICANN (2) (2016)
Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? CoRR (2016)
Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
Controlling explanatory heatmap resolution and semantics via decomposition depth. ICIP (2016)
Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
The LRP Toolbox for Artificial Neural Networks. J. Mach. Learn. Res. 17 (2016)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Localized Multiple Kernel Learning - A Convex Approach. CoRR (2015)
Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
Extracting latent brain states - Towards true labels in cognitive neuroscience experiments. NeuroImage 120 (2015)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Theory and Algorithms for the Localized Setting of Learning Kernels. FE@NIPS (2015)
Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller
Evaluating the visualization of what a Deep Neural Network has learned. CoRR (2015)
Grégoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition. CoRR (2015)
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. NIPS (2015)
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. CoRR (2015)
Sebastian Bach, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CoRR (2015)
Daniel Becker, Alexander Binder, Jens Einsiedler, Ilja Radusch
Multi-modal identification and tracking of vehicles in partially observed environments. IPIN (2014)
Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft
Learning and Evaluation in Presence of Non-i.i.d. Label Noise. AISTATS (2014)
Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning. BCI (2014)
Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. 117 (5) (2013)
Daniel Becker, Jens Einsiedler, Bernd Schäufele, Alexander Binder, Ilja Radusch
Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities. IPIN (2013)
Wojciech Samek, Alexander Binder, Klaus-Robert Müller
Multiple Kernel Learning for Brain-Computer Interfacing. EMBC (2013)
Alexander Binder, Klaus-Robert Müller, Motoaki Kawanabe
On Taxonomies for Multi-class Image Categorization. Int. J. Comput. Vis. 99 (3) (2012)
Wojciech Samek, Alexander Binder, Motoaki Kawanabe
Multi-task Learning via Non-sparse Multiple Kernel Learning. CAIP (1) (2011)
Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR (2011)
Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe
The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop) (2011)
Motoaki Kawanabe, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz
Multi-modal visual concept classification of images via Markov random walk over tags. WACV (2011)
Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe
A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV (3) (2010)
Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. ICIP (2010)
Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
Enhancing Image Classification with Class-wise Clustered Vocabularies. ICPR (2010)
Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc
The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. 11 (2010)
Alexander Binder, Motoaki Kawanabe
Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning. CLEF (Working Notes) (2009)
Alexander Binder, Motoaki Kawanabe
Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. CLEF (2) (2009)
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
Efficient Classification of Images with Taxonomies. ACCV (3) (2009)
Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder
A procedure of adaptive kernel combination with kernel-target alignment for object classification. CIVR (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Binder