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Quadratic Objective Perturbation: Curvature-Based Differential Privacy
arXiv cs.LG — Machine Learning
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Research proposes Quadratic Objective Perturbation (QOP) for differentially private empirical risk minimization, addressing limitations of Linear Objective Perturbation (LOP) with unbounded gradients.
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