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cs.LG2026
Can Rényi Accountants Beat Lossless Accountants for DP-SGD?
Jinho Bok
Recent frameworks in differential privacy (DP), such as privacy loss distributions and -DP, provide lossless representations of the privacy leakage of mechanisms. These approach…
cs.LG2024★ 1 cited
Shifted Interpolation for Differential Privacy
Jinho Bok, Weijie Su, Jason M. Altschuler
Noisy gradient descent and its variants are the predominant algorithms for differentially private machine learning. It is a fundamental question to quantify their privacy leakage,…