ملف الباحث
Matteo Boglioni
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
2025 · arXiv (Cornell University)
Differential privacy (DP) auditing aims to provide empirical lower bounds on the privacy guarantees of DP mechanisms like DP-SGD. While some existing techniques require many training runs that are prohibitively costly, recent work introduces one-run …