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"\nThe content discusses the privacy guarantees of Adaptive Batch Linear Queries (ABLQ) mechanism under different batch sampling methods in Differentially Private Stochastic Gradient Descent (DP-SGD). It compares the privacy analysis of deterministic, Poisson, and shuffle batch samplers, highlighting the substantial gaps in privacy guarantees. The article provides insights into the importance of batch sampling in determining privacy guarantees and the caution needed in reporting privacy parameters for mechanisms like DP-SGD.\n"
<https://linnk.ai/ko/insight/privacy/analyzing-privacy-in-dp-sgd-mechanisms-VA59M13-/>