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Inferring Class Label Distribution of Training Data from Classifiers: An
  Accuracy-Augmented Meta-Classifier Attack

Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack

8 November 2022
Raksha Ramakrishna
Gyorgy Dán
ArXivPDFHTML

Papers citing "Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack"

2 / 2 papers shown
Title
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An
  Adversarial Perspective
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
Xinjian Luo
Yangfan Jiang
Fei Wei
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
DiffM
30
4
0
28 Feb 2024
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
1