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Privacy Vulnerability of Split Computing to Data-Free Model Inversion
  Attacks

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks

13 July 2021
Xin Dong
Hongxu Yin
J. Álvarez
Jan Kautz
Pavlo Molchanov
H. T. Kung
    MIACV
ArXivPDFHTML

Papers citing "Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks"

5 / 5 papers shown
Title
$Λ$-Split: A Privacy-Preserving Split Computing Framework for
  Cloud-Powered Generative AI
ΛΛΛ-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI
Shoki Ohta
Takayuki Nishio
62
4
0
23 Oct 2023
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Lukas Struppek
Dominik Hintersdorf
Antonio De Almeida Correia
Antonia Adler
Kristian Kersting
MIACV
45
62
0
28 Jan 2022
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,484
0
11 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
123
600
0
14 Feb 2016
1