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We show that watermarking models beyond classification is possible while preserving their overall performance. We further investigate various attacks and ...
We propose to revisit the definition of watermarking ML models and render it more generic so that they are not only compatible with (i) image classification but ...
We show that watermarking models beyond classification is possible while preserving their overall performance.
Sofiane et al [138] extend trigger-based watermarks to machine learning models beyond classification tasks, including machine translation, regression, binary ...
Jun 24, 2021 · Watermarking machine learning models beyond classification is possible. • Metrics for verification process ? • Triggers beyond image ...
We propose to revisit the definition of watermarking ML models and render it more generic so that they are not only compatible with (i) image classification but ...
May 8, 2023 · We provide a state of the art on current watermarking techniques, and then complement it by considering watermarking beyond image classification ...
Preventing Watermark Forging Attacks in a MLaaS Environment · Yes We can: Watermarking Machine Learning Models beyond Classification · Since machine learning ...
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Yes we can: Watermarking machine learning models beyond classification. L Sofiane, M Njeh, O Ermis, M Önen, S Trabelsi. CFS 2021, 34th IEEE Computer Security ...
Apr 24, 2024 · ML Model Watermarking offers basic primitives for researchers and machine learning enthusiasts to watermark their models, without advanced knowledge of ...