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SFDDM: Single-fold Distillation for Diffusion models
While diffusion models effectively generate remarkable synthetic images, a key limitation is the inference inefficiency, requiring numerous sampling steps.
Fabricated Flips: Poisoning Federated Learning without Data
Consequently, we design REFD, a defense specifically crafted to protect against data-free attacks.
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN
To mitigate the model degradation, we propose a defense strategy against free-riders in MD-GAN, termed DFG.
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Shapley Value is commonly adopted to measure and incentivize client participation in federated learning.
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