130 citations · 222 across the 5 of their papers we have counts for
5 papers
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
Isabell Lederer, Rudolf Mayer, Andreas Rauber
The commercial use of Machine Learning (ML) is spreading; at the same time, ML models are becoming more complex and more expensive to train, which makes Intellectual Property Prote…
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk, Rudolf Mayer, Andreas Rauber
Machine Learning-as-a-Service (MLaaS) has become a widespread paradigm, making even the most complex machine learning models available for clients via e.g. a pay-per-query principl…
Maintainable Log Datasets for Evaluation of Intrusion Detection Systems
Max Landauer, Florian Skopik, Maximilian Frank +3
Intrusion detection systems (IDS) monitor system logs and network traffic to recognize malicious activities in computer networks. Evaluating and comparing IDSs with respect to thei…
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification
Alexander Schindler, Thomas Lidy, Andreas Rauber
In this paper we present a Deep Neural Network architecture for the task of acoustic scene classification which harnesses information from increasing temporal resolutions of Mel-Sp…
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
Kai Zhang, Liang Lan, Jun Liu +2
Low-rank matrix decomposition has gained great popularity recently in scaling up kernel methods to large amounts of data. However, some limitations could prevent them from working…