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Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model

23 May 2024
Tudor Cebere
A. Bellet
Nicolas Papernot
ArXivPDFHTML

Papers citing "Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model"

5 / 5 papers shown
Title
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios
Sangyeon Yoon
Wonje Jeung
Albert No
83
0
0
02 Dec 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
Thomas Steinke
Milad Nasr
Arun Ganesh
Borja Balle
Christopher A. Choquette-Choo
Matthew Jagielski
Jamie Hayes
Abhradeep Thakurta
Adam Smith
Andreas Terzis
23
7
0
08 Oct 2024
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
138
347
0
25 Sep 2021
Privacy Amplification by Decentralization
Privacy Amplification by Decentralization
Edwige Cyffers
A. Bellet
FedML
37
39
0
09 Dec 2020
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
134
416
0
29 Nov 2018
1