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Managing your Private and Public Data: Bringing down Inference Attacks
  against your Privacy

Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy

16 August 2014
Salman Salamatian
Amy Zhang
Flavio du Pin Calmon
S. Bhamidipati
N. Fawaz
B. Kveton
Pedro Oliveira
N. Taft
ArXivPDFHTML

Papers citing "Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy"

6 / 6 papers shown
Title
LLMs and the Future of Chip Design: Unveiling Security Risks and
  Building Trust
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust
Zeng Wang
Lilas Alrahis
Likhitha Mankali
J. Knechtel
Ozgur Sinanoglu
43
9
0
11 May 2024
Large-Scale Privacy-Preserving Network Embedding against Private Link
  Inference Attacks
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Xiao Han
Leye Wang
Junjie Wu
Yuncong Yang
18
4
0
28 May 2022
Robust Optimization for Local Differential Privacy
Robust Optimization for Local Differential Privacy
J. Goseling
Milan Lopuhaä-Zwakenberg
19
2
0
10 May 2022
Correspondences between Privacy and Nondiscrimination: Why They Should
  Be Studied Together
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Anupam Datta
S. Sen
Michael Carl Tschantz
21
5
0
06 Aug 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via
  Adversarial Machine Learning
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Jinyuan Jia
Neil Zhenqiang Gong
AAML
13
160
0
13 May 2018
Privacy Against Statistical Inference
Privacy Against Statistical Inference
Flavio du Pin Calmon
N. Fawaz
FedML
100
345
0
08 Oct 2012
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