Breaking the Privacy Promise: Gradient Inversion Attacks on Federated Low-Rank Adapted Vision Transformers

# Breaking the Privacy Promise: Gradient Inversion Attacks on Federated Low-Rank Adapted Vision Transformers

https://gcdradar.vercel.app/incidents/breaking-the-privacy-promise-gradient-inversion-attacks-on-f · AIR-2026-1824 · live

- Lane: Research
- Severity: 1 (Research / proof of concept): Research paper demonstrating a gradient inversion attack.
- Fix status: Fix status unknown
- First reported: 2026-11-09
- AI role: Attack on AI
- Products: Vision Transformers, LoRA

## Summary

This study investigates data privacy risks in federated learning environments utilizing Low-Rank Adaptation for Vision Transformers, demonstrating successful gradient inversion attacks.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-11-09: Breaking the Privacy Promise: Gradient Inversion Attacks on Federated Low-Rank Adapted Vision Transformers (https://arxiv.org/abs/2611.09652)

## Sources

- 2026-11-09 arXiv: Breaking the Privacy Promise: Gradient Inversion Attacks on Federated Low-Rank Adapted Vision Transformers https://arxiv.org/abs/2611.09652

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.