PCDM uses a poisoning-oriented conditional diffusion model with an adjustable vector and jumping strategy to create stealthier and more effective poisoned data than GAN-based attacks against federated learning.
A robust privacy-preserving federated learning model against model poisoning attacks,
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PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
PCDM uses a poisoning-oriented conditional diffusion model with an adjustable vector and jumping strategy to create stealthier and more effective poisoned data than GAN-based attacks against federated learning.