Local Differential Privacy and Its Applications: A Comprehensive Survey
Authors: Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam | Published: 2020-08-09
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Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Authors: Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera | Published: 2020-07-02 | Updated: 2020-10-06
Secure Federated Submodel Learning
Authors: Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen | Published: 2019-11-06 | Updated: 2019-11-11
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
Authors: Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith | Published: 2019-11-03 | Updated: 2019-12-06
Operator and Manufacturer Independent D2D Private Link for Future 5G Networks
Authors: Ayoub Mars, Ahmad Abadleh, Wael Adi | Published: 2019-11-01
Privacy-Preserving Machine Learning Using EtC Images
Authors: Ayana Kawamura, Yuma Kinoshita, Hitoshi Kiya | Published: 2019-11-01
Reducing audio membership inference attack accuracy to chance: 4 defenses
Authors: Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios | Published: 2019-10-31
Secure and Efficient Federated Transfer Learning
Authors: Shreya Sharma, Xing Chaoping, Yang Liu, Yan Kang | Published: 2019-10-29 | Updated: 2019-10-30
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition
Authors: Mimansa Jaiswal, Emily Mower Provost | Published: 2019-10-29
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning
Authors: Mathieu N Galtier, Camille Marini | Published: 2019-10-25