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02/17/2023
Less is More: The Influence of Pruning on the Explainability of CNNs
Modern, state-of-the-art Convolutional Neural Networks (CNNs) in compute...
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HE-MAN – Homomorphically Encrypted MAchine learning with oNnx models
Machine learning (ML) algorithms are increasingly important for the succ...
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On the Effect of Adversarial Training Against Invariance-based Adversarial Examples
Adversarial examples are carefully crafted attack points that are suppos...
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Pruning in the Face of Adversaries
The vulnerability of deep neural networks against adversarial examples -...
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When Should You Defend Your Classifier – A Game-theoretical Analysis of Countermeasures against Adversarial Examples
Adversarial machine learning, i.e., increasing the robustness of machine...
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Machine Unlearning: Linear Filtration for Logit-based Classifiers
Recently enacted legislation grants individuals certain rights to decide...
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