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09/21/2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
Post-hoc explainability methods aim to clarify predictions of black-box ...
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04/22/2023
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
The commercial use of Machine Learning (ML) is spreading; at the same ti...
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06/16/2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Machine Learning-as-a-Service (MLaaS) has become a widespread paradigm, ...
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03/16/2022
Maintainable Log Datasets for Evaluation of Intrusion Detection Systems
Intrusion detection systems (IDS) monitor system logs and network traffi...
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11/11/2018
A Multi-modal Deep Neural Network approach to Bird-song identification
We present a multi-modal Deep Neural Network (DNN) approach for bird son...
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11/11/2018
