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Quantifying Membership Inference Vulnerability via Generalization Gap
  and Other Model Metrics

Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics

11 September 2020
Jason Bentley
Daniel Gibney
Gary Hoppenworth
Sumit Kumar Jha
    MIACV
ArXivPDFHTML

Papers citing "Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics"

4 / 4 papers shown
Title
Training Data Extraction From Pre-trained Language Models: A Survey
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
37
46
0
25 May 2023
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
35
3
0
06 Oct 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
33
71
0
04 Jul 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
40
412
0
14 Mar 2021
1