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Closed-Form Bounds for DP-SGD against Record-level Inference

Closed-Form Bounds for DP-SGD against Record-level Inference

22 February 2024
Giovanni Cherubin
Boris Köpf
Andrew J. Paverd
Shruti Tople
Lukas Wutschitz
Santiago Zanella Béguelin
ArXivPDFHTML

Papers citing "Closed-Form Bounds for DP-SGD against Record-level Inference"

4 / 4 papers shown
Title
Synthetic Data Privacy Metrics
Synthetic Data Privacy Metrics
Amy Steier
Lipika Ramaswamy
Andre Manoel
Alexa Haushalter
41
0
0
08 Jan 2025
Attack-Aware Noise Calibration for Differential Privacy
Attack-Aware Noise Calibration for Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Flavio du Pin Calmon
Carmela Troncoso
49
6
0
02 Jul 2024
On the Importance of Architecture and Feature Selection in
  Differentially Private Machine Learning
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
Wenxuan Bao
L. A. Bauer
Vincent Bindschaedler
OOD
16
4
0
13 May 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
144
348
0
25 Sep 2021
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