RESEARCHMonitorWATCHLIST
Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research demonstrates membership inference attacks on federated prompt-tuning, exposing privacy risks when fine-tuning foundation models.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 November 2026
- Collected by OneBench
- 6 Nov 2026, 02:02 UK
Stored source excerpt
arXiv:2601.06641v4 Announce Type: replace Abstract: Membership inference attacks (MIAs) pose a serious privacy threat in federated learning (FL). While MIAs have been extensively studied in…
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