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MIST: Defending Against Membership Inference Attacks Through
  Membership-Invariant Subspace Training

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training

2 November 2023
Jiacheng Li
Ninghui Li
Bruno Ribeiro
ArXivPDFHTML

Papers citing "MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training"

4 / 4 papers shown
Title
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
116
32
0
04 Jul 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
62
134
0
10 Mar 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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