A Pragmatic Approach to Membership Inferences on Machine Learning Models-Reference-Cited by-同舟云学术

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A Pragmatic Approach to Membership Inferences on Machine Learning Models

Published:2020-09 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE European Symposium on Security and Privacy (EuroS&P)
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Author:

Long Yunhui,Wang Lei,Bu Diyue,Bindschaedler Vincent,Wang Xiaofeng,Tang Haixu,Gunter Carl A.,Chen Kai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9229479/9230353/09230385.pdf?arnumber=9230385

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data Poisoning and Leakage Analysis in Federated Learning;Springer Optimization and Its Applications;2024-09-04

2. Anonymization: The imperfect science of using data while preserving privacy;Science Advances;2024-07-19

3. Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks;2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P);2024-07-08

4. Efficiently Calculating Stronger Lower Bound for Differentially Private SGD in Black-Box Setting;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

5. Unraveling Attacks to Machine-Learning-Based IoT Systems: A Survey and the Open Libraries Behind Them;IEEE Internet of Things Journal;2024-06-01

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