Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
This work proposes PromptMIA, a membership inference attack tailored to federated prompt-tuning, in which a malicious server introduces adversarially crafted prompts and exploits their updates during collaborative training to determine whether a target data point belongs to a client's private dataset.