☆ 3.8 Proceedings Paper

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks

PROCEEDINGS OF THE 2023 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, ASIA CCS 2023 (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Information Systems

Federated Learning for Healthcare Informatics

Jie Xu et al.

Summary: With the increasing availability of healthcare data, the fragmented and private nature of these data poses challenges for generating robust results. Federated learning technology shows promise in protecting privacy and connecting disparate healthcare data sources. This survey reviews the applications and potential of federated learning in the biomedical space.

JOURNAL OF HEALTHCARE INFORMATICS RESEARCH (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Secure, privacy-preserving and federated machine learning in medical imaging

Georgios A. Kaissis et al.

NATURE MACHINE INTELLIGENCE (2020)

添加到收藏夹

Article Computer Science, Information Systems

BadNets: Evaluating Backdooring Attacks on Deep Neural Networks

Tianyu Gu et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Mathematics, Applied

Optimization Methods for Large-Scale Machine Learning

Leon Bottou et al.

SIAM REVIEW (2018)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

Machine Learning with Membership Privacy using Adversarial Regularization

Milad Nasr et al.

PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18) (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

Li Deng

IEEE SIGNAL PROCESSING MAGAZINE (2012)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.