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PATROL: Privacy-Oriented Pruning for Collaborative Inference Against
  Model Inversion Attacks

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks

20 July 2023
Shiwei Ding
Lan Zhang
Miao Pan
Xiaoyong Yuan
    AAML
ArXivPDFHTML

Papers citing "PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks"

3 / 3 papers shown
Title
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Song Xia
Yi Yu
Wenhan Yang
Meiwen Ding
Zhuo Chen
Lingyu Duan
Alex C. Kot
Xudong Jiang
56
2
0
01 Mar 2025
Ensembler: Combating model inversion attacks using model ensemble during
  collaborative inference
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference
Dancheng Liu
Jinjun Xiong
MIACV
FedML
AAML
34
0
0
19 Jan 2024
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
188
1,027
0
06 Mar 2020
1