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Reconstructing Training Data from Diverse ML Models by Ensemble
  Inversion

Reconstructing Training Data from Diverse ML Models by Ensemble Inversion

5 November 2021
Qian Wang
Daniel Kurz
ArXivPDFHTML

Papers citing "Reconstructing Training Data from Diverse ML Models by Ensemble Inversion"

5 / 5 papers shown
Title
Supervised machine learning for microbiomics: bridging the gap between
  current and best practices
Supervised machine learning for microbiomics: bridging the gap between current and best practices
Natasha K. Dudek
Mariam Chakhvadze
Saba Kobakhidze
Omar Kantidze
Yuriy Gankin
LM&MA
37
2
0
27 Feb 2024
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
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models
Debapriya Tula
S. Paul
Gagan Madan
P. Garst
R. Ingle
Gaurav Aggarwal
VLM
62
0
0
29 Aug 2023
Responsible Active Learning via Human-in-the-loop Peer Study
Responsible Active Learning via Human-in-the-loop Peer Study
Yu Cao
Jingya Wang
Baosheng Yu
Dacheng Tao
20
0
0
24 Nov 2022
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
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