research
∙
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...
share
research
∙
02/16/2023
HE-MAN – Homomorphically Encrypted MAchine learning with oNnx models
Machine learning (ML) algorithms are increasingly important for the succ...
research
∙
02/16/2023
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples
Adversarial examples are carefully crafted attack points that are suppos...
research
∙
08/19/2021
Pruning in the Face of Adversaries
The vulnerability of deep neural networks against adversarial examples -...
research
∙
08/17/2021
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...
research
∙
02/07/2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Recently enacted legislation grants individuals certain rights to decide...
research
∙
03/09/2018