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Information Leakage in Embedding Models

Information Leakage in Embedding Models

31 March 2020
Congzheng Song
A. Raghunathan
    MIACV
ArXivPDFHTML

Papers citing "Information Leakage in Embedding Models"

5 / 55 papers shown
Title
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine
  Learning Models
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Yugeng Liu
Rui Wen
Xinlei He
A. Salem
Zhikun Zhang
Michael Backes
Emiliano De Cristofaro
Mario Fritz
Yang Zhang
AAML
17
125
0
04 Feb 2021
On the Privacy Risks of Algorithmic Fairness
On the Privacy Risks of Algorithmic Fairness
Hong Chang
Reza Shokri
FaML
38
110
0
07 Nov 2020
Quantifying Privacy Leakage in Graph Embedding
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu
A. Boutet
Virat Shejwalkar
MIACV
17
119
0
02 Oct 2020
A Survey of Privacy Attacks in Machine Learning
A Survey of Privacy Attacks in Machine Learning
M. Rigaki
Sebastian Garcia
PILM
AAML
39
213
0
15 Jul 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
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