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cs.LG2026
Let's Ask Gauss: Improved One-Run Privacy Auditing
Adya Agrawal, Yu Wei, Jaspal Singh +2
Privacy auditing provides an important safeguard by estimating the actual information leaked by a model, thus ensuring that theoretical privacy guarantees hold in practice. We stud…
cs.LG2019★ 1 cited
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography
Maksim Tsikhanovich, Malik Magdon-Ismail, Muhammad Ishaq +1
Privacy is a major issue in learning from distributed data. Recently the cryptographic literature has provided several tools for this task. However, these tools either reduce the q…