_:n89bd410079824599a1d22e79b4174ca1xb7
<http://schema.org/text>
"\nTo improve the privacy analysis for shuffle batch samplers in DP-SGD mechanisms, several approaches can be considered. One way is to develop a more comprehensive understanding of the privacy implications of shuffle sampling by exploring the impact of non-differing records on the privacy guarantees. This could involve investigating the leakage of information about differing records in shuffled orders and how it affects the overall privacy protection. Additionally, refining the analysis techniques for shuffle batch samplers, such as considering specific sets that capture worst-case scenarios for privacy loss, can enhance the accuracy of privacy guarantees. By addressing these aspects, the privacy analysis for shuffle batch samplers in DP-SGD mechanisms can be improved to provide more reliable and robust privacy assurances.\n"
<https://linnk.ai/ko/insight/privacy/analyzing-privacy-in-dp-sgd-mechanisms-VA59M13-/>