Privacy Protection

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

Authors: Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou | Published: 2019-08-21 | Updated: 2019-09-25
Privacy Protection
Membership Inference
Privacy Protection in Machine Learning

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

Authors: Yang Liu, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert Deng | Published: 2019-07-24 | Updated: 2020-04-10
Security Assurance
Privacy Protection
Performance Evaluation

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

Authors: Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He | Published: 2019-07-23 | Updated: 2021-12-05
Incentive Design
Privacy Protection
Framework

Motion Sensor-based Privacy Attack on Smartphones

Authors: S Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena, Yingying Chen | Published: 2019-07-12 | Updated: 2020-10-19
Privacy Risk Management
Privacy Protection
Speech Signal Processing

Conditional Analysis for Key-Value Data with Local Differential Privacy

Authors: Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai | Published: 2019-07-11
Data Extraction and Analysis
Privacy Protection
Condition Monitoring

Privacy-Preserving Classification with Secret Vector Machines

Authors: Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West | Published: 2019-07-08 | Updated: 2020-08-19
Data Extraction and Analysis
Privacy Protection
Federated Learning

QUOTIENT: Two-Party Secure Neural Network Training and Prediction

Authors: Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, Adrià Gascón | Published: 2019-07-08
MPC Algorithm
Privacy Protection
Deep Learning Method

Diffprivlib: The IBM Differential Privacy Library

Authors: Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher | Published: 2019-07-04
Privacy Protection
Library Classification
Machine Learning Framework

Capacity Bounded Differential Privacy

Authors: Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala | Published: 2019-07-03
Privacy Protection
Information Gathering Methods
Research Methodology

Protecting Privacy of Users in Brain-Computer Interface Applications

Authors: Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento | Published: 2019-07-02
Secure Logistic Regression
Privacy Protection
Machine Learning Framework