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Jinho Bok

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#machine learning Preprint Oct 2026

Can R\'enyi Accountants Beat Lossless Accountants for DP-SGD?

Recent frameworks in differential privacy (DP), such as privacy loss distributions and $f$-DP, provide lossless representations of the privacy leakage of mechanisms. These approaches are often considered to yield tighter $(\varepsilon, \delta)$-DP guarantees than those obtained from relaxed notions such as R\'enyi DP....

Jinho Bok · 0 citations