Source Inference Attacks in Federated Learning

Author:

Hu Hongsheng,Salcic Zoran,Sun Lichao,Dobbie Gillian,Zhang Xuyun

Funder

Australian Research Council

Publisher

IEEE

Reference39 articles.

1. Fedmd: Heterogenous federated learning via model distillation;li;arXiv preprint arXiv 1910 01500,2019

2. LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

3. Protection against reconstruction and its applications in private federated learning;bhowmick;CoRR arXiv 1812 00984,2018

4. Privacy and robustness in federated learning: Attacks and defenses;lyu;2012 arXiv preprint arXiv,2020

5. Membership inference attacks on knowledge graphs;wang;arXiv preprint arXiv 2104 08273,2021

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2. FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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4. Unraveling Attacks to Machine-Learning-Based IoT Systems: A Survey and the Open Libraries Behind Them;IEEE Internet of Things Journal;2024-06-01

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