Non-transferable examples add perturbations in an authorized model's low-sensitivity subspace, keeping that model's accuracy nearly intact while collapsing the accuracy of all other tested models.
Toward robust non-transferable learning: A survey and benchmark
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Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
Non-transferable examples add perturbations in an authorized model's low-sensitivity subspace, keeping that model's accuracy nearly intact while collapsing the accuracy of all other tested models.