Machine Learning with Confidential Computing: A Systematization of
Knowledge

Machine Learning with Confidential Computing: A Systematization of Knowledge

22 August 2022

Hamed Haddadi

Papers citing "Machine Learning with Confidential Computing: A Systematization of Knowledge"

8 / 8 papers shown

Title
A Survey on Privacy Risks and Protection in Large Language Models Kang Chen Xiuze Zhou Yuanguo Lin Shibo Feng Li Shen Pengcheng Wu AILaw PILM 141 0 0 04 May 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara S. 64 1 0 26 Feb 2025
GuaranTEE: Towards Attestable and Private ML with CCA S. Siby Sina Abdollahi Mohammad Maheri Marios Kogias Hamed Haddadi 35 7 0 29 Mar 2024
virtCCA: Virtualized Arm Confidential Compute Architecture with TrustZone Xiang Xu Wenhao Wang Yongzheng Wu Chenyu Wang Huifeng Zhu Haocheng Ma Zhennan Min Zixuan Pang Rui Hou Yier Jin 27 5 0 19 Jun 2023
SecFL: Confidential Federated Learning using TEEs D. Quoc Christof Fetzer FedML 16 16 0 03 Oct 2021
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX Chengliang Zhang Junzhe Xia Baichen Yang Huancheng Puyang W. Wang Ruichuan Chen Istemi Ekin Akkus Paarijaat Aditya Feng Yan FedML 53 39 0 04 May 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 62 57 0 09 Feb 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018