Privacy-Preserving Machine Learning

Stealing Hyperparameters in Machine Learning

Authors: Binghui Wang, Neil Zhenqiang Gong | Published: 2018-02-14 | Updated: 2019-09-07
Privacy-Preserving Machine Learning
Model Extraction Attack
Optimization Strategy

Blind De-anonymization Attacks using Social Networks

Authors: Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby Lee | Published: 2018-01-17
Attack that Analyzes Information Collected from Social Media to Identify Individuals using AI
Graph Representation Learning
Privacy-Preserving Machine Learning

Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification

Authors: Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, Pong C Yuen | Published: 2017-11-05
Privacy-Preserving Machine Learning
Model Performance Evaluation
Biometric Key Generation

Elliptical modeling and pattern analysis for perturbation models and classfication

Authors: Shan Suthaharan, Weining Shen | Published: 2017-10-22
Data Privacy Assessment
Privacy-Preserving Machine Learning
Model evaluation methods

Learning Differentially Private Recurrent Language Models

Authors: H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang | Published: 2017-10-18 | Updated: 2018-02-24
Privacy-Preserving Machine Learning
Differential Privacy
Deep Learning

Differentially Private Query Learning: from Data Publishing to Model Publishing

Authors: Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu | Published: 2017-10-13
Data Privacy Assessment
Privacy-Preserving Machine Learning
Differential Privacy

On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches

Authors: Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang | Published: 2017-08-26
Data Privacy Management
Privacy-Preserving Machine Learning
Differential Privacy