federated prompt-tuning
PulseAugur coverage of federated prompt-tuning — every cluster mentioning federated prompt-tuning across labs, papers, and developer communities, ranked by signal.
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New PromptMIA attack targets privacy in federated prompt-tuning
Researchers have developed a new privacy attack called PromptMIA, specifically designed for federated prompt-tuning scenarios. This attack exploits adversarially crafted prompts introduced by a malicious server during c…
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New ShadowFPT attack exploits frozen backbones in federated prompt tuning
Researchers have developed a new backdoor attack called ShadowFPT that targets Federated Prompt Tuning (FPT) in large vision-language models. This attack exploits the frozen backbone of the model, allowing a malicious c…
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New FedSEPT method enhances privacy in federated prompt tuning for VLMs
Researchers have introduced FedSEPT, a novel approach to federated prompt tuning for vision-language models that enhances privacy and addresses data heterogeneity. This method utilizes Subspace-decomposed Expert Modelin…