Author

Quan Nguyen

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#machine learning Jan 2026

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.

Quan Nguyen, Min-Seon Kim, Hoang M. Ngo et al. · arXiv.org · 1 citation

#machine learning Preprint Sep 2026

D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data

This work forms decentralized prompt tuning as a Wasserstein-based optimization problem over prompt measures, which captures the set-valued structure of prompts and proposes D-FROST, an optimal-transport-based (OT-based) decentralized prompt-tuning algorithm that merges neighborhood prompts into compact representative...

Quan Nguyen, Hoang M. Ngo, Trong Nghia Hoang et al. · 0 citations