Privacy-preserving machine learning: Threats and solutions

M Al-Rubaie, JM Chang - IEEE Security & Privacy, 2019 - ieeexplore.ieee.org
For privacy concerns to be addressed adequately in today's machine-learning (ML) systems,
the knowledge gap between the ML and privacy communities must be bridged. This article …
被引用次数：438 相关文章

[引用][C] Privacy-Preserving Machine Learning: Threats and Solutions

M Al-Rubaie, JM Chang - IEEE Security & Privacy, 2019 - cir.nii.ac.jp
Privacy-Preserving Machine Learning: Threats and Solutions | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …

Privacy Preserving Machine Learning: Threats and Solutions

M Al-Rubaie, JM Chang - arXiv preprint arXiv:1804.11238, 2018 - arxiv.org
For privacy concerns to be addressed adequately in current machine learning systems, the
knowledge gap between the machine learning and privacy communities must be bridged …

Privacy Preserving Machine Learning: Threats and Solutions

M Al-Rubaie, JM Chang - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
For privacy concerns to be addressed adequately in current machine learning systems, the
knowledge gap between the machine learning and privacy communities must be bridged …

Privacy-Preserving Machine Learning: Threats and Solutions

M Al-Rubaie, JM Chang - IEEE Security & Privacy, 2019 - computer.org
For privacy concerns to be addressed adequately in today's machine-learning (ML) systems,
the knowledge gap between the ML and privacy communities must be bridged. This article …

Privacy-Preserving Machine Learning: Threats and Solutions

PPM LEARNING - 4th IEEE European Symposium on Security and …, 2019 - computer.org
PRIVACY-PRESERVING MACHINE LEARNING be associated with a label (eg, name of the
person in the photo). An ML algorithm would use a training set formed of multiple feature …