Publications

(2020). Locally Adaptive Nearest Neighbors. European Symposium on Artificial Neural Networks.

(2020). Adversarial examples and where to find them.

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(2020). Adversarial attacks hidden in plain sight. Symposium on Intelligent Data Analysis.

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(2019). Recovering Localized Adversarial Attacks. International Conference on Artificial Neural Networks.

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(2019). Adversarial Robustness Curves. workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

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(2018). Mitigating Concept Drift via Rejection. International Conference on Artificial Neural Networks.

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(2018). Interpretation of linear classifiers by means of feature relevance bounds. Neurocomputing.

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(2017). Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction. Symposium Series on Computational Intelligence.

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(2017). Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. Neural Information Processing Systems workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.

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