Helen: Maliciously Secure Coopetitive Learning for Linear Models

16 July 2019

Papers citing "Helen: Maliciously Secure Coopetitive Learning for Linear Models"

20 / 20 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey J. H. Liu Yao Du Kun Yang Yan Wang Xiping Hu Z. Wang Y. Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
Federated Learning for Sparse Principal Component Analysis Sin Cheng Ciou Pin-Jui Chen Elvin Y. Tseng Yuh-Jye Lee FedML 24 0 0 15 Nov 2023
Scalable and Privacy-Preserving Federated Principal Component Analysis D. Froelicher Hyunghoon Cho Manaswitha Edupalli João Sá Sousa Jean-Philippe Bossuat Apostolos Pyrgelis J. Troncoso-Pastoriza Bonnie Berger Jean-Pierre Hubaux FedML 13 15 0 31 Mar 2023
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field Christopher Bockel-Rickermann Tim Verdonck Wouter Verbeke 30 12 0 07 Dec 2022
Verifiable Encodings for Secure Homomorphic Analytics Sylvain Chatel Christian Knabenhans Apostolos Pyrgelis Carmela Troncoso Jean-Pierre Hubaux 23 19 0 28 Jul 2022
Privatized Graph Federated Learning Elsa Rizk Stefan Vlaski A. H. Sayed FedML 6 4 0 14 Mar 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta B. Hitaj F. Pérez-Cruz L. Mancini FedML 25 10 0 21 Jan 2022
Secure Machine Learning over Relational Data Qiyao Luo Yilei Wang Zhenghang Ren K. Yi Kai Chen Xiao Wang 27 4 0 30 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 32 16 0 20 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 24 100 0 10 Aug 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 25 49 0 05 May 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk A. H. Sayed FedML 31 21 0 26 Apr 2021
Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis J. Scheibner J. Raisaro J. Troncoso-Pastoriza M. Ienca J. Fellay E. Vayena Jean-Pierre Hubaux 13 75 0 27 Oct 2020
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics Rishabh Poddar Sukrit Kalra Avishay Yanai Ryan Deng Raluca A. Popa J. M. Hellerstein 25 68 0 26 Oct 2020
Feature Inference Attack on Model Predictions in Vertical Federated Learning Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi FedML AAML 11 218 0 20 Oct 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 11 153 0 01 Sep 2020
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT Anmin Fu Xianglong Zhang N. Xiong Yansong Gao Huaqun Wang FedML 14 174 0 27 Jul 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 15 295 0 05 Apr 2020
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption A. Alexandru Konstantinos Gatsis Yasser Shoukry S. Seshia Paulo Tabuada George J. Pappas 21 71 0 07 Sep 2018
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 88 278 0 02 Oct 2017