130 citations · 222 across the 5 of their papers we have counts for
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cs.LG2023★ 35 cited
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…
cs.LG2022★ 130 cited
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…
cs.LG2012★ 5 cited
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…