Jacobian-guided reshaping converts isotropic LDP noise into an anisotropic distribution focused on task-relevant subspaces, yielding roughly 20% utility gains on CIFAR-10-C for PrivUnit2 and PrivUnitG at ε=7.5 while keeping per-dimension privacy budgets uniform.
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Jacobian-Guided Anisotropic Noise Reshaping for Enhancing Representation Utility under Local Differential Privacy
Jacobian-guided reshaping converts isotropic LDP noise into an anisotropic distribution focused on task-relevant subspaces, yielding roughly 20% utility gains on CIFAR-10-C for PrivUnit2 and PrivUnitG at ε=7.5 while keeping per-dimension privacy budgets uniform.