Privacy-Preserving Machine Learning: Methods, Challenges and Directions

10 August 2021

Papers citing "Privacy-Preserving Machine Learning: Methods, Challenges and Directions"

14 / 14 papers shown

Title
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models Xubin Wang Zhiqing Tang Jianxiong Guo Tianhui Meng Chenhao Wang Tian-sheng Wang Weijia Jia 52 1 0 08 Mar 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 100 0 0 30 Dec 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers Harald Semmelrock Tony Ross-Hellauer Simone Kopeinik Dieter Theiler Armin Haberl Stefan Thalmann Dominik Kowald 65 6 0 20 Jun 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning Michael Duchesne Kaiwen Zhang Talhi Chamseddine FedML 34 0 0 20 Apr 2024
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Wensheng Liang Xiaoguang Ma Ruiyan Zhuang UQCV AI4TS AI4CE 29 4 0 11 Dec 2023
When PETs misbehave: A Contextual Integrity analysis Ero Balsa Yan Shvartzshnaider 17 0 0 05 Dec 2023
Privacy Protectability: An Information-theoretical Approach Siping Shi Bihai Zhang Dan Wang 23 1 0 25 May 2023
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings A. M. Quintero-Ossa Jesus Solano Hernán Jarcía David Zarruk Alejandro Correa-Bahnsen C. Valencia FedML 21 1 0 10 Nov 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 14 0 0 24 Oct 2022
A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications Maryna Kapitonova P. Kellmeyer S. Vogt T. Ball 21 8 0 19 Sep 2022
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption Syed Imtiaz Ahamed V. Ravi 34 0 0 04 Aug 2022
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX Chengliang Zhang Junzhe Xia Baichen Yang Huancheng Puyang Wei Wang Ruichuan Chen Istemi Ekin Akkus Paarijaat Aditya Feng Yan FedML 53 39 0 04 May 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 57 183 0 22 Apr 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020