Evaluating the Impact of Adversarial Factors on Membership Inference Attacks
Author:
Affiliation:
1. Chinese Academy of Sciences,Institute of Information Engineering,China
2. Xidian University,School of Cyber Engineering,Xi’an,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10447020/10448518/10448806.pdf?arnumber=10448806
Reference25 articles.
1. Deep Leakage from Gradients
2. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
3. Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing;Fredrikson
4. Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations
5. Exploiting Unintended Feature Leakage in Collaborative Learning
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