Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning-Reference-Cited by-同舟云学术

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Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning

Published:2024-07-23 Issue: Volume: Page:1431-1434
ISSN:
Container-title:2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)
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Author:

Zhang Xueqing¹,Zhang Junkai²,Chow Ka-Ho³,Chen Juntao¹,Mao Ying¹,Rahouti Mohamed¹,Li Xiang¹,Liu Yuchen⁴,Wei Wenqi¹

Affiliation:

1. Fordham University,Department of Computer and Information Sciences

2. Columbia University,Department of Applied Analytics

3. The University of Hong Kong,Department of Computer Science

4. North Carolina State University,Department of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10630852/10630896/10631025.pdf?arnumber=10631025

Reference10 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan

2. Poisoning attacks against support vector machines;Biggio

3. Data Poisoning Attacks Against Federated Learning Systems

4. STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

5. Spectral signatures in backdoor attacks;Tran

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