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It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With
  Non-Convex Loss

It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss

9 July 2024
Meenatchi Sundaram Muthu Selva Annamalai
ArXivPDFHTML

Papers citing "It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss"

3 / 3 papers shown
Title
Balls-and-Bins Sampling for DP-SGD
Balls-and-Bins Sampling for DP-SGD
Lynn Chua
Badih Ghazi
Charlie Harrison
Ethan Leeman
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chiyuan Zhang
80
3
0
21 Dec 2024
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
85
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
34
7
0
08 Oct 2024
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