Privacy Protection

Adversarial Privacy Preserving Graph Embedding against Inference Attack

Authors: Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai | Published: 2020-08-30
Privacy Protection
Membership Inference
Adversarial attack

Private Dataset Generation Using Privacy Preserving Collaborative Learning

Authors: Amit Chaulwar | Published: 2020-04-28
Privacy Protection
Membership Inference
Federated Learning System

Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework

Authors: Hongyu Li, Dan Meng, Hong Wang, Xiaolin Li | Published: 2020-02-05 | Updated: 2020-05-22
Privacy Protection
Privacy Enhancing Protocol
Federated Learning System

Modelling and Quantifying Membership Information Leakage in Machine Learning

Authors: Farhad Farokhi, Mohamed Ali Kaafar | Published: 2020-01-29 | Updated: 2020-04-28
Privacy Protection
Membership Inference
Information-Theoretic Approach

Privacy-Preserving Gaussian Process Regression — A Modular Approach to the Application of Homomorphic Encryption

Authors: Peter Fenner, Edward O. Pyzer-Knapp | Published: 2020-01-28
Privacy Protection
Cryptography
Machine Learning Technology

Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud

Authors: Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Quanshi Zhang, Wei Wang, Bo Li | Published: 2019-12-18 | Updated: 2021-06-15
Privacy Protection
Performance Evaluation Metrics
Deep Learning Method

Private Federated Learning with Domain Adaptation

Authors: Daniel Peterson, Pallika Kanani, Virendra J. Marathe | Published: 2019-12-13
Privacy Protection
Performance Evaluation Metrics
Machine Learning Technology

Advances and Open Problems in Federated Learning

Authors: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao | Published: 2019-12-10 | Updated: 2021-03-09
Secure Aggregation
Privacy Protection
Poisoning

Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing

Authors: Anudit Nagar | Published: 2019-12-10
Privacy Protection
Blockchain Technology
Model Communication

Machine Unlearning

Authors: Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot | Published: 2019-12-09 | Updated: 2020-12-15
Privacy Protection
Fundamentals of Machine Learning
Adaptive Retraining Mechanism