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Guo-Liang Li

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Open access Jul 2026

CAEBA: A Dynamic Hidden Backdoor Attack Framework in Federated Learning

This work proposes CAEBA (Conditional AutoEncoder Backdoor Attack), a dynamic hidden backdoor framework that uses a conditional autoencoder to generate target-aware and visually stealthy triggers while progressively implanting the backdoor through federated optimization.

Xiaojun Guo, Guoliang Li, Yun Hu · 0 citations

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