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Understanding Deep Gradient Leakage via Inversion Influence Functions

Understanding Deep Gradient Leakage via Inversion Influence Functions

22 September 2023
Haobo Zhang
Junyuan Hong
Yuyang Deng
M. Mahdavi
Jiayu Zhou
    FedML
ArXivPDFHTML

Papers citing "Understanding Deep Gradient Leakage via Inversion Influence Functions"

5 / 5 papers shown
Title
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
73
1
0
09 Oct 2024
Visual Privacy Auditing with Diffusion Models
Visual Privacy Auditing with Diffusion Models
Kristian Schwethelm
Johannes Kaiser
Moritz Knolle
Daniel Rueckert
Daniel Rueckert
Alexander Ziller
DiffM
AAML
31
0
0
12 Mar 2024
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
74
91
0
01 Feb 2022
Bounding Training Data Reconstruction in Private (Deep) Learning
Bounding Training Data Reconstruction in Private (Deep) Learning
Chuan Guo
Brian Karrer
Kamalika Chaudhuri
L. V. D. van der Maaten
103
53
0
28 Jan 2022
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
1