[HTML][HTML] A survey on membership inference attacks and defenses in Machine Learning
Membership inference (MI) attacks mainly aim to infer whether a data record was used to
train a target model or not. Due to the serious privacy risks, MI attacks have been attracting a …
train a target model or not. Due to the serious privacy risks, MI attacks have been attracting a …
Assessment of data augmentation, dropout with L2 Regularization and differential privacy against membership inference attacks
Abstract Machine learning (ML) has revolutionized various industries, but concerns about
privacy and security have emerged as significant challenges. Membership inference attacks …
privacy and security have emerged as significant challenges. Membership inference attacks …
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
J Niu, X Zhu, M Zeng, G Zhang, Q Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
Membership inference (MI) attacks threaten user privacy through determining if a given data
example has been used to train a target model. However, it has been increasingly …
example has been used to train a target model. However, it has been increasingly …
[PDF][PDF] 机器学习中成员推理攻击和防御研究综述
牛俊， 马骁骥， 陈颖， 张歌， 何志鹏， 侯哲贤… - Journal of Cyber …, 2022 - jcs.iie.ac.cn
摘要机器学习被广泛应用于各个领域, 已成为推动各行业革命的强大动力,
极大促进了人工智能的繁荣与发展. 同时, 机器学习模型的训练和预测均需要大量数据 …
极大促进了人工智能的繁荣与发展. 同时, 机器学习模型的训练和预测均需要大量数据 …