Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks

no code implementations • 22 Apr 2023 • 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 Protection (IPP) of trained models a pressing issue.

I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences

no code implementations • 16 Jun 2022 • Daryna Oliynyk, Rudolf Mayer, Andreas Rauber

We address this by categorising and comparing model stealing attacks, assessing their performance, and exploring corresponding defence techniques in different settings.

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond

1 code implementation • 12 May 2021 • Julian Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus Bloice, Nina C Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald HHW Schmidt, Christof Tschohl, Nina K Wenke, Jan Baumbach

Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas and are driven by the increasing amount of available data.

Federated Learning Privacy Preserving

Privacy-preserving Artificial Intelligence Techniques in Biomedicine

no code implementations • 22 Jul 2020 • Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hausschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach

Artificial intelligence (AI) has been successfully applied in numerous scientific domains.

Privacy Preserving