Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Syed Irfan Ali Meerza

Syed Irfan Ali Meerza

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Crypto×1ML×1

Frequent co-authors

Feiyi Wang1×
Jian Liu1×

Research Timeline

2026
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs

FedSpy-LLM introduces a scalable and generalizable data reconstruction attack that can extract private training data from shared gradients of large language models, even when using Parameter-Efficient Fine-Tuning (PEFT) methods.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.LGRecentApr 7, 2026

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs

Syed Irfan Ali Meerza, Feiyi Wang, Jian Liu

FedSpy-LLM introduces a scalable and generalizable data reconstruction attack that can extract private training data from shared gradients of large language models, even when using Parameter-Efficient…

View →