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Efficient Parametric Approximations of Neural Network Function Space Distance
It is often useful to compactly summarize important properties of model ...
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Dataset Inference for Self-Supervised Models
Self-supervised models are increasingly prevalent in machine learning (M...
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On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Self-Supervised Learning (SSL) is an increasingly popular ML paradigm th...
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