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Explaining the Model, Protecting Your Data: Revealing and Mitigating the
  Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference

Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference

24 July 2024
Catherine Huang
Martin Pawelczyk
Himabindu Lakkaraju
    AAML
ArXivPDFHTML

Papers citing "Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference"

2 / 2 papers shown
Title
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models
  for Chest X-Ray Interpretation
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
73
101
0
18 Jan 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
1